{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}22 Sep 2023, 09:20:25

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_data.dta", clear
{txt}
{com}. 
. *Ensure data is set as panel data*
. *sort ccode year
. *xtset ccode year
. 
. ***********************************************************************
. **Models reported in main text********
. ***********************************************************************
. 
. 
. **Table 1 models, tests of H1**
. 
. *MODEL 1
. nbreg absch_troops_max L.solschdum L.other_ldrtrns L.regtrans L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if troops_ever==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1518814.8}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-822872.59}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-571693.15}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-399605.91}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-394347.54}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -394282.3}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-394282.29}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12509.731}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -12190.16}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12157.566}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12156.212}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12156.206}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12156.206}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12156.206}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0509}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}solschdum {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0749807{col 40}{space 2} .1474092{col 51}{space 1}    0.51{col 60}{space 3}0.611{col 68}{space 4} -.213936{col 81}{space 3} .3638974
{txt}{space 26} {c |}
{space 13}other_ldrtrns {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0787535{col 40}{space 2} .1858787{col 51}{space 1}    0.42{col 60}{space 3}0.672{col 68}{space 4}-.2855619{col 81}{space 3}  .443069
{txt}{space 26} {c |}
{space 18}regtrans {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.2594208{col 40}{space 2} .3140904{col 51}{space 1}   -0.83{col 60}{space 3}0.409{col 68}{space 4}-.8750267{col 81}{space 3}  .356185
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0237362{col 40}{space 2} .0463403{col 51}{space 1}   -0.51{col 60}{space 3}0.608{col 68}{space 4}-.1145615{col 81}{space 3}  .067089
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.9186968{col 40}{space 2} 2.921902{col 51}{space 1}   -0.31{col 60}{space 3}0.753{col 68}{space 4} -6.64552{col 81}{space 3} 4.808126
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.2988853{col 40}{space 2} .2711935{col 51}{space 1}   -1.10{col 60}{space 3}0.270{col 68}{space 4}-.8304148{col 81}{space 3} .2326442
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-82.23889{col 40}{space 2} 49.06295{col 51}{space 1}   -1.68{col 60}{space 3}0.094{col 68}{space 4}-178.4005{col 81}{space 3} 13.92273
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .055564{col 40}{space 2}   .05523{col 51}{space 1}    1.01{col 60}{space 3}0.314{col 68}{space 4}-.0526848{col 81}{space 3} .1638128
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .202671{col 40}{space 2} .1049576{col 51}{space 1}    1.93{col 60}{space 3}0.053{col 68}{space 4}-.0030421{col 81}{space 3} .4083842
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0002254{col 40}{space 2} .0001052{col 51}{space 1}   -2.14{col 60}{space 3}0.032{col 68}{space 4}-.0004316{col 81}{space 3}-.0000191
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0088841{col 40}{space 2} .0043205{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .0004161{col 81}{space 3} .0173522
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0131929{col 40}{space 2} .0038597{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} .0056281{col 81}{space 3} .0207577
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.3098291{col 40}{space 2} .1238944{col 51}{space 1}   -2.50{col 60}{space 3}0.012{col 68}{space 4}-.5526576{col 81}{space 3}-.0670006
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0052904{col 40}{space 2} .0089162{col 51}{space 1}    0.59{col 60}{space 3}0.553{col 68}{space 4}-.0121851{col 81}{space 3} .0227659
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0000374{col 40}{space 2} .0001899{col 51}{space 1}    0.20{col 60}{space 3}0.844{col 68}{space 4}-.0003348{col 81}{space 3} .0004096
{txt}{space 26} {c |}
{space 21}ccode {c |}
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{txt}{space 22}630  {c |}{col 28}{res}{space 2}-4.347146{col 40}{space 2} 1.741501{col 51}{space 1}   -2.50{col 60}{space 3}0.013{col 68}{space 4}-7.760426{col 81}{space 3} -.933866
{txt}{space 22}640  {c |}{col 28}{res}{space 2} .9642218{col 40}{space 2} 1.410895{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-1.801082{col 81}{space 3} 3.729526
{txt}{space 22}651  {c |}{col 28}{res}{space 2} 1.706904{col 40}{space 2} 1.624971{col 51}{space 1}    1.05{col 60}{space 3}0.294{col 68}{space 4} -1.47798{col 81}{space 3} 4.891788
{txt}{space 22}663  {c |}{col 28}{res}{space 2} 1.689697{col 40}{space 2} 1.805193{col 51}{space 1}    0.94{col 60}{space 3}0.349{col 68}{space 4}-1.848417{col 81}{space 3} 5.227811
{txt}{space 22}670  {c |}{col 28}{res}{space 2}-2.233866{col 40}{space 2}  1.39751{col 51}{space 1}   -1.60{col 60}{space 3}0.110{col 68}{space 4}-4.972935{col 81}{space 3} .5052039
{txt}{space 22}679  {c |}{col 28}{res}{space 2}-1.185129{col 40}{space 2} 2.129044{col 51}{space 1}   -0.56{col 60}{space 3}0.578{col 68}{space 4}-5.357979{col 81}{space 3} 2.987721
{txt}{space 22}690  {c |}{col 28}{res}{space 2}-3.400076{col 40}{space 2} 1.094674{col 51}{space 1}   -3.11{col 60}{space 3}0.002{col 68}{space 4}-5.545597{col 81}{space 3}-1.254554
{txt}{space 22}694  {c |}{col 28}{res}{space 2} .7641904{col 40}{space 2} 2.355034{col 51}{space 1}    0.32{col 60}{space 3}0.746{col 68}{space 4}-3.851592{col 81}{space 3} 5.379973
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{txt}{space 22}702  {c |}{col 28}{res}{space 2}-4.843743{col 40}{space 2} 2.108966{col 51}{space 1}   -2.30{col 60}{space 3}0.022{col 68}{space 4}-8.977241{col 81}{space 3}-.7102448
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-4.508929{col 40}{space 2} 2.047379{col 51}{space 1}   -2.20{col 60}{space 3}0.028{col 68}{space 4}-8.521719{col 81}{space 3}-.4961394
{txt}{space 22}705  {c |}{col 28}{res}{space 2} .9642326{col 40}{space 2} 1.553653{col 51}{space 1}    0.62{col 60}{space 3}0.535{col 68}{space 4}-2.080871{col 81}{space 3} 4.009336
{txt}{space 22}710  {c |}{col 28}{res}{space 2}-1.097345{col 40}{space 2} 1.581316{col 51}{space 1}   -0.69{col 60}{space 3}0.488{col 68}{space 4}-4.196668{col 81}{space 3} 2.001978
{txt}{space 22}712  {c |}{col 28}{res}{space 2} 1.411505{col 40}{space 2} 1.902352{col 51}{space 1}    0.74{col 60}{space 3}0.458{col 68}{space 4}-2.317036{col 81}{space 3} 5.140046
{txt}{space 22}732  {c |}{col 28}{res}{space 2} .2877823{col 40}{space 2} .9853687{col 51}{space 1}    0.29{col 60}{space 3}0.770{col 68}{space 4}-1.643505{col 81}{space 3} 2.219069
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.034931{col 40}{space 2} 1.031027{col 51}{space 1}    1.00{col 60}{space 3}0.315{col 68}{space 4}-.9858451{col 81}{space 3} 3.055707
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 2.826606{col 40}{space 2} 1.960177{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4} -1.01527{col 81}{space 3} 6.668482
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-2.496998{col 40}{space 2}  1.92393{col 51}{space 1}   -1.30{col 60}{space 3}0.194{col 68}{space 4}-6.267832{col 81}{space 3} 1.273835
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 2.486587{col 40}{space 2} 1.637486{col 51}{space 1}    1.52{col 60}{space 3}0.129{col 68}{space 4}-.7228275{col 81}{space 3} 5.696001
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 2.149532{col 40}{space 2} 1.797962{col 51}{space 1}    1.20{col 60}{space 3}0.232{col 68}{space 4}-1.374409{col 81}{space 3} 5.673473
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-3.851417{col 40}{space 2} 2.013883{col 51}{space 1}   -1.91{col 60}{space 3}0.056{col 68}{space 4}-7.798556{col 81}{space 3} .0957214
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 1.452432{col 40}{space 2} 1.751995{col 51}{space 1}    0.83{col 60}{space 3}0.407{col 68}{space 4}-1.981416{col 81}{space 3} 4.886279
{txt}{space 22}790  {c |}{col 28}{res}{space 2}  1.49184{col 40}{space 2}  1.91984{col 51}{space 1}    0.78{col 60}{space 3}0.437{col 68}{space 4}-2.270978{col 81}{space 3} 5.254657
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 1.950437{col 40}{space 2}  1.62283{col 51}{space 1}    1.20{col 60}{space 3}0.229{col 68}{space 4}-1.230251{col 81}{space 3} 5.131125
{txt}{space 22}811  {c |}{col 28}{res}{space 2} .4433494{col 40}{space 2} 1.987905{col 51}{space 1}    0.22{col 60}{space 3}0.824{col 68}{space 4}-3.452873{col 81}{space 3} 4.339572
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{txt}{space 22}850  {c |}{col 28}{res}{space 2} 1.057492{col 40}{space 2} 1.653004{col 51}{space 1}    0.64{col 60}{space 3}0.522{col 68}{space 4}-2.182337{col 81}{space 3}  4.29732
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 1.475859{col 40}{space 2} 1.028563{col 51}{space 1}    1.43{col 60}{space 3}0.151{col 68}{space 4}-.5400868{col 81}{space 3} 3.491805
{txt}{space 22}920  {c |}{col 28}{res}{space 2} .4631031{col 40}{space 2} 1.229483{col 51}{space 1}    0.38{col 60}{space 3}0.706{col 68}{space 4}-1.946639{col 81}{space 3} 2.872845
{txt}{space 22}950  {c |}{col 28}{res}{space 2} .4768159{col 40}{space 2}  1.82211{col 51}{space 1}    0.26{col 60}{space 3}0.794{col 68}{space 4}-3.094454{col 81}{space 3} 4.048086
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 6.837131{col 40}{space 2} 1.932552{col 51}{space 1}    3.54{col 60}{space 3}0.000{col 68}{space 4} 3.049399{col 81}{space 3} 10.62486
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.356761{col 40}{space 2} .0619258{col 68}{space 4} 1.235389{col 81}{space 3} 1.478134
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.883596{col 40}{space 2} .2404949{col 68}{space 4} 3.439717{col 81}{space 3} 4.384756
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Variable to tag observations included in the analysis*
. *gen samp=0 
. 
. *replace samp=1 if e(sample)
. 
. *MODEL 2
. nbreg absch_troops_max L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1519085.6}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-824588.87}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-569034.39}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-399449.72}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-394052.29}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-393985.21}  
Iteration 6:{space 2}Log pseudolikelihood = {res: -393985.2}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -12509.71}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12191.388}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12157.111}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12155.651}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12155.645}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12155.645}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12155.645}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0510}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0669444{col 40}{space 2} .1349359{col 51}{space 1}    0.50{col 60}{space 3}0.620{col 68}{space 4}-.1975251{col 81}{space 3} .3314138
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.1012114{col 40}{space 2} .1562159{col 51}{space 1}   -0.65{col 60}{space 3}0.517{col 68}{space 4}-.4073889{col 81}{space 3} .2049662
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .2194558{col 40}{space 2} .2823881{col 51}{space 1}    0.78{col 60}{space 3}0.437{col 68}{space 4}-.3340147{col 81}{space 3} .7729262
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0173741{col 40}{space 2} .0439062{col 51}{space 1}   -0.40{col 60}{space 3}0.692{col 68}{space 4}-.1034288{col 81}{space 3} .0686805
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-1.039561{col 40}{space 2} 2.957814{col 51}{space 1}   -0.35{col 60}{space 3}0.725{col 68}{space 4}-6.836771{col 81}{space 3} 4.757649
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3222211{col 40}{space 2} .2733173{col 51}{space 1}   -1.18{col 60}{space 3}0.238{col 68}{space 4}-.8579133{col 81}{space 3}  .213471
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-84.93211{col 40}{space 2} 47.76183{col 51}{space 1}   -1.78{col 60}{space 3}0.075{col 68}{space 4}-178.5436{col 81}{space 3} 8.679358
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .050756{col 40}{space 2} .0550263{col 51}{space 1}    0.92{col 60}{space 3}0.356{col 68}{space 4}-.0570936{col 81}{space 3} .1586056
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1987474{col 40}{space 2} .1022472{col 51}{space 1}    1.94{col 60}{space 3}0.052{col 68}{space 4}-.0016534{col 81}{space 3} .3991481
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} -.000216{col 40}{space 2} .0001039{col 51}{space 1}   -2.08{col 60}{space 3}0.038{col 68}{space 4}-.0004196{col 81}{space 3}-.0000123
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0090406{col 40}{space 2} .0043076{col 51}{space 1}    2.10{col 60}{space 3}0.036{col 68}{space 4} .0005978{col 81}{space 3} .0174834
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0135163{col 40}{space 2} .0038733{col 51}{space 1}    3.49{col 60}{space 3}0.000{col 68}{space 4} .0059247{col 81}{space 3} .0211079
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.3077865{col 40}{space 2} .1233792{col 51}{space 1}   -2.49{col 60}{space 3}0.013{col 68}{space 4}-.5496054{col 81}{space 3}-.0659676
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0052313{col 40}{space 2}  .008838{col 51}{space 1}    0.59{col 60}{space 3}0.554{col 68}{space 4}-.0120908{col 81}{space 3} .0225535
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0000378{col 40}{space 2}  .000188{col 51}{space 1}    0.20{col 60}{space 3}0.841{col 68}{space 4}-.0003307{col 81}{space 3} .0004064
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{space 21}ccode {c |}
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{txt}{space 22}670  {c |}{col 28}{res}{space 2}-2.198811{col 40}{space 2} 1.379146{col 51}{space 1}   -1.59{col 60}{space 3}0.111{col 68}{space 4}-4.901888{col 81}{space 3}  .504265
{txt}{space 22}679  {c |}{col 28}{res}{space 2}-1.181657{col 40}{space 2} 2.155673{col 51}{space 1}   -0.55{col 60}{space 3}0.584{col 68}{space 4}-5.406699{col 81}{space 3} 3.043385
{txt}{space 22}690  {c |}{col 28}{res}{space 2}-3.335894{col 40}{space 2} 1.071762{col 51}{space 1}   -3.11{col 60}{space 3}0.002{col 68}{space 4}-5.436509{col 81}{space 3} -1.23528
{txt}{space 22}694  {c |}{col 28}{res}{space 2} .9167411{col 40}{space 2} 2.363033{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-3.714719{col 81}{space 3} 5.548201
{txt}{space 22}696  {c |}{col 28}{res}{space 2}-1.384535{col 40}{space 2} 1.823852{col 51}{space 1}   -0.76{col 60}{space 3}0.448{col 68}{space 4}-4.959218{col 81}{space 3} 2.190149
{txt}{space 22}702  {c |}{col 28}{res}{space 2}-4.894779{col 40}{space 2} 2.131003{col 51}{space 1}   -2.30{col 60}{space 3}0.022{col 68}{space 4}-9.071467{col 81}{space 3}-.7180906
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-4.609892{col 40}{space 2} 2.079131{col 51}{space 1}   -2.22{col 60}{space 3}0.027{col 68}{space 4}-8.684914{col 81}{space 3}-.5348697
{txt}{space 22}705  {c |}{col 28}{res}{space 2} .9633787{col 40}{space 2}  1.55362{col 51}{space 1}    0.62{col 60}{space 3}0.535{col 68}{space 4}-2.081661{col 81}{space 3} 4.008418
{txt}{space 22}710  {c |}{col 28}{res}{space 2}-.9324263{col 40}{space 2} 1.551535{col 51}{space 1}   -0.60{col 60}{space 3}0.548{col 68}{space 4}-3.973378{col 81}{space 3} 2.108526
{txt}{space 22}712  {c |}{col 28}{res}{space 2}  1.30741{col 40}{space 2} 1.924297{col 51}{space 1}    0.68{col 60}{space 3}0.497{col 68}{space 4}-2.464142{col 81}{space 3} 5.078963
{txt}{space 22}732  {c |}{col 28}{res}{space 2} .2559933{col 40}{space 2} .9880739{col 51}{space 1}    0.26{col 60}{space 3}0.796{col 68}{space 4}-1.680596{col 81}{space 3} 2.192582
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.059574{col 40}{space 2}  1.02755{col 51}{space 1}    1.03{col 60}{space 3}0.302{col 68}{space 4}-.9543861{col 81}{space 3} 3.073534
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 2.975692{col 40}{space 2} 1.982025{col 51}{space 1}    1.50{col 60}{space 3}0.133{col 68}{space 4}-.9090057{col 81}{space 3}  6.86039
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-2.812032{col 40}{space 2} 1.952678{col 51}{space 1}   -1.44{col 60}{space 3}0.150{col 68}{space 4}-6.639211{col 81}{space 3} 1.015147
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 2.401493{col 40}{space 2} 1.638255{col 51}{space 1}    1.47{col 60}{space 3}0.143{col 68}{space 4}-.8094281{col 81}{space 3} 5.612415
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 2.026675{col 40}{space 2} 1.819032{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-1.538561{col 81}{space 3} 5.591912
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-3.878788{col 40}{space 2} 2.041825{col 51}{space 1}   -1.90{col 60}{space 3}0.057{col 68}{space 4}-7.880691{col 81}{space 3} .1231146
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 1.234215{col 40}{space 2}  1.77594{col 51}{space 1}    0.69{col 60}{space 3}0.487{col 68}{space 4}-2.246563{col 81}{space 3} 4.714993
{txt}{space 22}790  {c |}{col 28}{res}{space 2} 1.328453{col 40}{space 2} 1.919026{col 51}{space 1}    0.69{col 60}{space 3}0.489{col 68}{space 4}-2.432768{col 81}{space 3} 5.089675
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 1.693119{col 40}{space 2} 1.640713{col 51}{space 1}    1.03{col 60}{space 3}0.302{col 68}{space 4}-1.522619{col 81}{space 3} 4.908857
{txt}{space 22}811  {c |}{col 28}{res}{space 2} .3686735{col 40}{space 2} 2.014836{col 51}{space 1}    0.18{col 60}{space 3}0.855{col 68}{space 4}-3.580333{col 81}{space 3}  4.31768
{txt}{space 22}816  {c |}{col 28}{res}{space 2}-1.443403{col 40}{space 2} 1.912454{col 51}{space 1}   -0.75{col 60}{space 3}0.450{col 68}{space 4}-5.191744{col 81}{space 3} 2.304938
{txt}{space 22}820  {c |}{col 28}{res}{space 2} .2617913{col 40}{space 2} 1.493823{col 51}{space 1}    0.18{col 60}{space 3}0.861{col 68}{space 4}-2.666049{col 81}{space 3} 3.189632
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-1.046023{col 40}{space 2} .9959969{col 51}{space 1}   -1.05{col 60}{space 3}0.294{col 68}{space 4} -2.99814{col 81}{space 3} .9060954
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 1.632953{col 40}{space 2} 2.008057{col 51}{space 1}    0.81{col 60}{space 3}0.416{col 68}{space 4}-2.302766{col 81}{space 3} 5.568673
{txt}{space 22}850  {c |}{col 28}{res}{space 2} .9715867{col 40}{space 2} 1.663879{col 51}{space 1}    0.58{col 60}{space 3}0.559{col 68}{space 4}-2.289556{col 81}{space 3} 4.232729
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 1.407819{col 40}{space 2} 1.031698{col 51}{space 1}    1.36{col 60}{space 3}0.172{col 68}{space 4}-.6142727{col 81}{space 3} 3.429911
{txt}{space 22}920  {c |}{col 28}{res}{space 2} .3784418{col 40}{space 2} 1.236703{col 51}{space 1}    0.31{col 60}{space 3}0.760{col 68}{space 4}-2.045451{col 81}{space 3} 2.802335
{txt}{space 22}950  {c |}{col 28}{res}{space 2} .3362285{col 40}{space 2}  1.85323{col 51}{space 1}    0.18{col 60}{space 3}0.856{col 68}{space 4}-3.296035{col 81}{space 3} 3.968492
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  6.81133{col 40}{space 2} 1.924772{col 51}{space 1}    3.54{col 60}{space 3}0.000{col 68}{space 4} 3.038847{col 81}{space 3} 10.58381
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.356312{col 40}{space 2}  .061839{col 68}{space 4}  1.23511{col 81}{space 3} 1.477514
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  3.88185{col 40}{space 2} .2400498{col 68}{space 4} 3.438756{col 81}{space 3} 4.382039
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *MODEL 3
. nbreg absch_troops_max L.solsch_3yrs L.otherldrtrns_3yrs L.regtrans_3yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1523931.9}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-829029.61}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-571567.61}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-399668.55}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-394390.56}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-394323.92}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-394323.91}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12509.742}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12191.031}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12157.395}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12155.988}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12155.982}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12155.982}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12155.982}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0509}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_3yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0447017{col 40}{space 2} .1428341{col 51}{space 1}    0.31{col 60}{space 3}0.754{col 68}{space 4}-.2352479{col 81}{space 3} .3246514
{txt}{space 26} {c |}
{space 9}otherldrtrns_3yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0260869{col 40}{space 2} .1508413{col 51}{space 1}   -0.17{col 60}{space 3}0.863{col 68}{space 4}-.3217306{col 81}{space 3} .2695567
{txt}{space 26} {c |}
{space 13}regtrans_3yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1896843{col 40}{space 2} .2676329{col 51}{space 1}    0.71{col 60}{space 3}0.478{col 68}{space 4}-.3348664{col 81}{space 3} .7142351
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0191959{col 40}{space 2} .0450164{col 51}{space 1}   -0.43{col 60}{space 3}0.670{col 68}{space 4}-.1074265{col 81}{space 3} .0690347
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} -1.00059{col 40}{space 2} 2.955327{col 51}{space 1}   -0.34{col 60}{space 3}0.735{col 68}{space 4}-6.792924{col 81}{space 3} 4.791744
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3358511{col 40}{space 2} .2747582{col 51}{space 1}   -1.22{col 60}{space 3}0.222{col 68}{space 4}-.8743674{col 81}{space 3} .2026652
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-84.76148{col 40}{space 2} 45.99579{col 51}{space 1}   -1.84{col 60}{space 3}0.065{col 68}{space 4}-174.9116{col 81}{space 3} 5.388605
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0507645{col 40}{space 2} .0554407{col 51}{space 1}    0.92{col 60}{space 3}0.360{col 68}{space 4}-.0578972{col 81}{space 3} .1594262
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1988542{col 40}{space 2} .1040062{col 51}{space 1}    1.91{col 60}{space 3}0.056{col 68}{space 4}-.0049942{col 81}{space 3} .4027026
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} -.000218{col 40}{space 2}  .000105{col 51}{space 1}   -2.08{col 60}{space 3}0.038{col 68}{space 4}-.0004238{col 81}{space 3}-.0000123
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0088916{col 40}{space 2} .0042731{col 51}{space 1}    2.08{col 60}{space 3}0.037{col 68}{space 4} .0005164{col 81}{space 3} .0172668
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0138058{col 40}{space 2} .0040738{col 51}{space 1}    3.39{col 60}{space 3}0.001{col 68}{space 4} .0058214{col 81}{space 3} .0217902
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.3085161{col 40}{space 2}   .12438{col 51}{space 1}   -2.48{col 60}{space 3}0.013{col 68}{space 4}-.5522965{col 81}{space 3}-.0647358
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0054066{col 40}{space 2} .0088794{col 51}{space 1}    0.61{col 60}{space 3}0.543{col 68}{space 4}-.0119967{col 81}{space 3} .0228099
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0000331{col 40}{space 2} .0001885{col 51}{space 1}    0.18{col 60}{space 3}0.861{col 68}{space 4}-.0003363{col 81}{space 3} .0004025
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} .9746361{col 40}{space 2} 1.011453{col 51}{space 1}    0.96{col 60}{space 3}0.335{col 68}{space 4}-1.007775{col 81}{space 3} 2.957047
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-3.886766{col 40}{space 2} 1.801235{col 51}{space 1}   -2.16{col 60}{space 3}0.031{col 68}{space 4}-7.417121{col 81}{space 3}-.3564101
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-3.406757{col 40}{space 2} 1.700222{col 51}{space 1}   -2.00{col 60}{space 3}0.045{col 68}{space 4}-6.739131{col 81}{space 3} -.074382
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-3.863137{col 40}{space 2} 1.535855{col 51}{space 1}   -2.52{col 60}{space 3}0.012{col 68}{space 4}-6.873357{col 81}{space 3}-.8529179
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-2.590223{col 40}{space 2} 1.557608{col 51}{space 1}   -1.66{col 60}{space 3}0.096{col 68}{space 4}-5.643079{col 81}{space 3} .4626334
{txt}{space 23}90  {c |}{col 28}{res}{space 2}-.5927817{col 40}{space 2} 1.888444{col 51}{space 1}   -0.31{col 60}{space 3}0.754{col 68}{space 4}-4.294064{col 81}{space 3} 3.108501
{txt}{space 23}91  {c |}{col 28}{res}{space 2}-2.059436{col 40}{space 2} 1.954639{col 51}{space 1}   -1.05{col 60}{space 3}0.292{col 68}{space 4}-5.890458{col 81}{space 3} 1.771586
{txt}{space 23}92  {c |}{col 28}{res}{space 2}-.4045055{col 40}{space 2} 1.977271{col 51}{space 1}   -0.20{col 60}{space 3}0.838{col 68}{space 4}-4.279885{col 81}{space 3} 3.470874
{txt}{space 22}100  {c |}{col 28}{res}{space 2}-4.933953{col 40}{space 2} 1.684983{col 51}{space 1}   -2.93{col 60}{space 3}0.003{col 68}{space 4}-8.236459{col 81}{space 3}-1.631447
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-4.118721{col 40}{space 2} 1.600242{col 51}{space 1}   -2.57{col 60}{space 3}0.010{col 68}{space 4}-7.255138{col 81}{space 3}-.9823039
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-3.967509{col 40}{space 2} 1.754624{col 51}{space 1}   -2.26{col 60}{space 3}0.024{col 68}{space 4}-7.406508{col 81}{space 3}-.5285093
{txt}{space 22}130  {c |}{col 28}{res}{space 2}-1.701151{col 40}{space 2} 1.875525{col 51}{space 1}   -0.91{col 60}{space 3}0.364{col 68}{space 4}-5.377112{col 81}{space 3} 1.974811
{txt}{space 22}135  {c |}{col 28}{res}{space 2} -.255694{col 40}{space 2} 1.821343{col 51}{space 1}   -0.14{col 60}{space 3}0.888{col 68}{space 4}-3.825461{col 81}{space 3} 3.314073
{txt}{space 22}140  {c |}{col 28}{res}{space 2}   1.0306{col 40}{space 2}   1.4571{col 51}{space 1}    0.71{col 60}{space 3}0.479{col 68}{space 4}-1.825263{col 81}{space 3} 3.886463
{txt}{space 22}145  {c |}{col 28}{res}{space 2} .1896776{col 40}{space 2} 1.926502{col 51}{space 1}    0.10{col 60}{space 3}0.922{col 68}{space 4}-3.586197{col 81}{space 3} 3.965552
{txt}{space 22}150  {c |}{col 28}{res}{space 2}-.7132308{col 40}{space 2}  1.87264{col 51}{space 1}   -0.38{col 60}{space 3}0.703{col 68}{space 4}-4.383537{col 81}{space 3} 2.957075
{txt}{space 22}155  {c |}{col 28}{res}{space 2} .5818818{col 40}{space 2} 1.566746{col 51}{space 1}    0.37{col 60}{space 3}0.710{col 68}{space 4}-2.488884{col 81}{space 3} 3.652647
{txt}{space 22}160  {c |}{col 28}{res}{space 2} .5047349{col 40}{space 2} 1.572092{col 51}{space 1}    0.32{col 60}{space 3}0.748{col 68}{space 4}-2.576508{col 81}{space 3} 3.585978
{txt}{space 22}165  {c |}{col 28}{res}{space 2} 1.381581{col 40}{space 2} 1.617681{col 51}{space 1}    0.85{col 60}{space 3}0.393{col 68}{space 4}-1.789015{col 81}{space 3} 4.552177
{txt}{space 22}200  {c |}{col 28}{res}{space 2} .9532395{col 40}{space 2} .9936687{col 51}{space 1}    0.96{col 60}{space 3}0.337{col 68}{space 4}-.9943154{col 81}{space 3} 2.900794
{txt}{space 22}205  {c |}{col 28}{res}{space 2} 1.166794{col 40}{space 2} .9761556{col 51}{space 1}    1.20{col 60}{space 3}0.232{col 68}{space 4}-.7464359{col 81}{space 3} 3.080024
{txt}{space 22}210  {c |}{col 28}{res}{space 2} 1.645483{col 40}{space 2} .9982508{col 51}{space 1}    1.65{col 60}{space 3}0.099{col 68}{space 4}-.3110529{col 81}{space 3} 3.602019
{txt}{space 22}211  {c |}{col 28}{res}{space 2} .8824192{col 40}{space 2} 1.083628{col 51}{space 1}    0.81{col 60}{space 3}0.415{col 68}{space 4}-1.241452{col 81}{space 3}  3.00629
{txt}{space 22}220  {c |}{col 28}{res}{space 2} 1.637106{col 40}{space 2} .9568276{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4}-.2382421{col 81}{space 3} 3.512453
{txt}{space 22}225  {c |}{col 28}{res}{space 2}-2.453815{col 40}{space 2} .9273148{col 51}{space 1}   -2.65{col 60}{space 3}0.008{col 68}{space 4}-4.271319{col 81}{space 3}-.6363115
{txt}{space 22}230  {c |}{col 28}{res}{space 2} 1.050409{col 40}{space 2} 1.163744{col 51}{space 1}    0.90{col 60}{space 3}0.367{col 68}{space 4}-1.230487{col 81}{space 3} 3.331304
{txt}{space 22}235  {c |}{col 28}{res}{space 2} .9491181{col 40}{space 2} 1.335723{col 51}{space 1}    0.71{col 60}{space 3}0.477{col 68}{space 4} -1.66885{col 81}{space 3} 3.567086
{txt}{space 22}255  {c |}{col 28}{res}{space 2} 1.228861{col 40}{space 2} .9759629{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-.6839906{col 81}{space 3} 3.141714
{txt}{space 22}290  {c |}{col 28}{res}{space 2} .6148171{col 40}{space 2} 1.509731{col 51}{space 1}    0.41{col 60}{space 3}0.684{col 68}{space 4}  -2.3442{col 81}{space 3} 3.573835
{txt}{space 22}305  {c |}{col 28}{res}{space 2} .4554368{col 40}{space 2}  1.04968{col 51}{space 1}    0.43{col 60}{space 3}0.664{col 68}{space 4}-1.601898{col 81}{space 3} 2.512771
{txt}{space 22}310  {c |}{col 28}{res}{space 2}-2.174776{col 40}{space 2} 1.476439{col 51}{space 1}   -1.47{col 60}{space 3}0.141{col 68}{space 4}-5.068543{col 81}{space 3} .7189909
{txt}{space 22}316  {c |}{col 28}{res}{space 2}-1.255707{col 40}{space 2} 1.267729{col 51}{space 1}   -0.99{col 60}{space 3}0.322{col 68}{space 4}-3.740409{col 81}{space 3} 1.228995
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{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  6.83202{col 40}{space 2} 1.925856{col 51}{space 1}    3.55{col 60}{space 3}0.000{col 68}{space 4} 3.057412{col 81}{space 3} 10.60663
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.356589{col 40}{space 2} .0619475{col 68}{space 4} 1.235174{col 81}{space 3} 1.478004
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.882925{col 40}{space 2} .2405375{col 68}{space 4} 3.438976{col 81}{space 3} 4.384184
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. **Marginal effects of controls discussed in the results section (from Model 3)**
. 
. *Coup risk
. margins, at(L.couprisk=(0(0.005)0.025) (mean) _all (median) L.solsch_3yrs L.otherldrtrns_3yrs L.regtrans_3yrs) force   
{txt}{p 0 6}note: default prediction  is a function of possibly stochastic quantities other than {bf:e(b)}.{p_end}
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,753}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.005}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.01}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.015}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.02}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.025}}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 62.36063{col 26}{space 2}  5.10952{col 37}{space 1}   12.20{col 46}{space 3}0.000{col 54}{space 4} 52.34615{col 67}{space 3}  72.3751
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 40.81815{col 26}{space 2} 6.924494{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} 27.24639{col 67}{space 3}  54.3899
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 26.71752{col 26}{space 2} 10.57367{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} 5.993499{col 67}{space 3} 47.44153
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 17.48795{col 26}{space 2} 10.92473{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-3.924134{col 67}{space 3} 38.90003
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 11.44674{col 26}{space 2} 9.777804{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-7.717407{col 67}{space 3} 30.61088
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  7.49246{col 26}{space 2}   8.1211{col 37}{space 1}    0.92{col 46}{space 3}0.356{col 54}{space 4}-8.424603{col 67}{space 3} 23.40952
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Total troops
. margins, at(L.troops_th=(.650 7) (mean) _all (median)L.solsch_3yrs L.otherldrtrns_3yrs L.regtrans_3yrs) force
{txt}{p 0 6}note: default prediction  is a function of possibly stochastic quantities other than {bf:e(b)}.{p_end}
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,753}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.65}}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:7}}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 54.06265{col 26}{space 2} 2.621911{col 37}{space 1}   20.62{col 46}{space 3}0.000{col 54}{space 4} 48.92379{col 67}{space 3}  59.2015
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 191.1135{col 26}{space 2} 125.6811{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-55.21693{col 67}{space 3}  437.444
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Authorization
. margins, at(authtroop_th=(41.65 98.05) (mean) _all (median)L.solsch_3yrs L.otherldrtrns_3yrs L.regtrans_3yrs) force
{txt}{p 0 6}note: default prediction  is a function of possibly stochastic quantities other than {bf:e(b)}.{p_end}
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,753}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:41.65}}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:98.05}}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 39.91693{col 26}{space 2} 5.849302{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} 28.45251{col 67}{space 3} 51.38136
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 65.90967{col 26}{space 2} 7.478111{col 37}{space 1}    8.81{col 46}{space 3}0.000{col 54}{space 4} 51.25284{col 67}{space 3}  80.5665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Authorization change
. margins, at(authtroop_change_absval_th=(3 17.484) (mean) _all (median)L.solsch_3yrs L.otherldrtrns_3yrs L.regtrans_3yrs) force
{txt}{p 0 6}note: default prediction  is a function of possibly stochastic quantities other than {bf:e(b)}.{p_end}
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,753}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:L.solsch_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.otherldrt~3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.regtrans_3yrs} = {res:{ralign 8:0}} {txt:(median)}
{lalign 7:}{space 0}{lalign 16:L.polity2_news~e} = {res:{ralign 8:14.89829}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:authtroop_c~l_th} = {res:{ralign 8:17.484}}
{lalign 7:}{space 0}{lalign 16:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 47.33585{col 26}{space 2}  2.76105{col 37}{space 1}   17.14{col 46}{space 3}0.000{col 54}{space 4} 41.92429{col 67}{space 3}  52.7474
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 57.81401{col 26}{space 2} 3.183793{col 37}{space 1}   18.16{col 46}{space 3}0.000{col 54}{space 4} 51.57389{col 67}{space 3} 64.05413
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table 2 models, test of H2**
. 
. 
. *MODEL 4: Interaction with 1 year
. nbreg absch_troops_max L.i.solschdum##L.c.polity2_newscale L.other_ldrtrns##L.c.polity2_newscale L.regtrans L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1523566.1}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-827971.49}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-567634.21}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-399025.21}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-393797.18}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-393733.49}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-393733.48}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -12509.65}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12191.588}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12156.083}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12154.554}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12154.549}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12154.549}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12154.549}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0510}

{txt}{ralign 101:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                   absch_troops_max{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      z{col 69}   P>|z|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}L.solschdum {c |}
{space 33}1  {c |}{col 37}{res}{space 2} 1.345278{col 49}{space 2} .7619865{col 60}{space 1}    1.77{col 69}{space 3}0.077{col 77}{space 4}-.1481885{col 90}{space 3} 2.838744
{txt}{space 35} {c |}
{space 19}polity2_newscale {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.0178837{col 49}{space 2} .0466849{col 60}{space 1}   -0.38{col 69}{space 3}0.702{col 77}{space 4}-.1093844{col 90}{space 3}  .073617
{txt}{space 35} {c |}
{space 4}L.solschdum#cL.polity2_newscale {c |}
{space 33}1  {c |}{col 37}{res}{space 2}-.0717953{col 49}{space 2} .0420404{col 60}{space 1}   -1.71{col 69}{space 3}0.088{col 77}{space 4}-.1541929{col 90}{space 3} .0106024
{txt}{space 35} {c |}
{space 20}L.other_ldrtrns {c |}
{space 33}1  {c |}{col 37}{res}{space 2}-.0166624{col 49}{space 2}  .578597{col 60}{space 1}   -0.03{col 69}{space 3}0.977{col 77}{space 4}-1.150692{col 90}{space 3} 1.117367
{txt}{space 35} {c |}
{space 19}polity2_newscale {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
L.other_ldrtrns#cL.polity2_newscale {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0074227{col 49}{space 2} .0339245{col 60}{space 1}    0.22{col 69}{space 3}0.827{col 77}{space 4}-.0590681{col 90}{space 3} .0739136
{txt}{space 35} {c |}
{space 27}regtrans {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.4103414{col 49}{space 2} .2940931{col 60}{space 1}   -1.40{col 69}{space 3}0.163{col 77}{space 4}-.9867533{col 90}{space 3} .1660706
{txt}{space 35} {c |}
{space 26}gdppc_hth {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} -.901044{col 49}{space 2} 2.921209{col 60}{space 1}   -0.31{col 69}{space 3}0.758{col 77}{space 4}-6.626508{col 90}{space 3}  4.82442
{txt}{space 35} {c |}
{space 22}prev_conflict {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} -.306831{col 49}{space 2} .2662074{col 60}{space 1}   -1.15{col 69}{space 3}0.249{col 77}{space 4}-.8285879{col 90}{space 3} .2149259
{txt}{space 35} {c |}
{space 27}couprisk {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-90.13387{col 49}{space 2} 51.53384{col 60}{space 1}   -1.75{col 69}{space 3}0.080{col 77}{space 4}-191.1383{col 90}{space 3}  10.8706
{txt}{space 35} {c |}
{space 25}milper_hth {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} .0545552{col 49}{space 2} .0545965{col 60}{space 1}    1.00{col 69}{space 3}0.318{col 77}{space 4}-.0524519{col 90}{space 3} .1615624
{txt}{space 35} {c |}
{space 26}troops_th {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} .2032142{col 49}{space 2} .1048121{col 60}{space 1}    1.94{col 69}{space 3}0.053{col 77}{space 4}-.0022137{col 90}{space 3} .4086421
{txt}{space 35} {c |}
{space 19}absch_troops_max {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.0002253{col 49}{space 2} .0001052{col 60}{space 1}   -2.14{col 69}{space 3}0.032{col 77}{space 4}-.0004315{col 90}{space 3}-.0000191
{txt}{space 35} {c |}
{space 23}authtroop_th {c |}{col 37}{res}{space 2} .0090798{col 49}{space 2} .0042918{col 60}{space 1}    2.12{col 69}{space 3}0.034{col 77}{space 4}  .000668{col 90}{space 3} .0174916
{txt}{space 9}authtroop_change_absval_th {c |}{col 37}{res}{space 2} .0133197{col 49}{space 2} .0038443{col 60}{space 1}    3.46{col 69}{space 3}0.001{col 77}{space 4}  .005785{col 90}{space 3} .0208545
{txt}{space 31}yr_n {c |}{col 37}{res}{space 2}-.3067382{col 49}{space 2} .1229464{col 60}{space 1}   -2.49{col 69}{space 3}0.013{col 77}{space 4}-.5477088{col 90}{space 3}-.0657676
{txt}{space 30}yr_n2 {c |}{col 37}{res}{space 2} .0049453{col 49}{space 2} .0087955{col 60}{space 1}    0.56{col 69}{space 3}0.574{col 77}{space 4}-.0122935{col 90}{space 3} .0221841
{txt}{space 30}yr_n3 {c |}{col 37}{res}{space 2} .0000454{col 49}{space 2} .0001874{col 60}{space 1}    0.24{col 69}{space 3}0.809{col 77}{space 4}-.0003219{col 90}{space 3} .0004126
{txt}{space 35} {c |}
{space 30}ccode {c |}
{space 32}20  {c |}{col 37}{res}{space 2} 1.026439{col 49}{space 2} .9928279{col 60}{space 1}    1.03{col 69}{space 3}0.301{col 77}{space 4}-.9194682{col 90}{space 3} 2.972345
{txt}{space 32}42  {c |}{col 37}{res}{space 2}-3.853918{col 49}{space 2} 1.773261{col 60}{space 1}   -2.17{col 69}{space 3}0.030{col 77}{space 4}-7.329446{col 90}{space 3}-.3783892
{txt}{space 32}51  {c |}{col 37}{res}{space 2}-3.325958{col 49}{space 2} 1.672865{col 60}{space 1}   -1.99{col 69}{space 3}0.047{col 77}{space 4}-6.604714{col 90}{space 3}-.0472031
{txt}{space 32}52  {c |}{col 37}{res}{space 2}-3.744048{col 49}{space 2} 1.515624{col 60}{space 1}   -2.47{col 69}{space 3}0.013{col 77}{space 4}-6.714617{col 90}{space 3}-.7734795
{txt}{space 32}70  {c |}{col 37}{res}{space 2}-2.477623{col 49}{space 2} 1.546052{col 60}{space 1}   -1.60{col 69}{space 3}0.109{col 77}{space 4} -5.50783{col 90}{space 3}  .552584
{txt}{space 32}90  {c |}{col 37}{res}{space 2}-.5011465{col 49}{space 2} 1.868017{col 60}{space 1}   -0.27{col 69}{space 3}0.788{col 77}{space 4}-4.162393{col 90}{space 3}   3.1601
{txt}{space 32}91  {c |}{col 37}{res}{space 2}-1.971941{col 49}{space 2} 1.931216{col 60}{space 1}   -1.02{col 69}{space 3}0.307{col 77}{space 4}-5.757055{col 90}{space 3} 1.813174
{txt}{space 32}92  {c |}{col 37}{res}{space 2}-.3283459{col 49}{space 2} 1.946395{col 60}{space 1}   -0.17{col 69}{space 3}0.866{col 77}{space 4}-4.143211{col 90}{space 3} 3.486519
{txt}{space 31}100  {c |}{col 37}{res}{space 2}-4.922616{col 49}{space 2} 1.656757{col 60}{space 1}   -2.97{col 69}{space 3}0.003{col 77}{space 4}-8.169801{col 90}{space 3}-1.675432
{txt}{space 31}101  {c |}{col 37}{res}{space 2}-4.021477{col 49}{space 2} 1.568112{col 60}{space 1}   -2.56{col 69}{space 3}0.010{col 77}{space 4} -7.09492{col 90}{space 3}-.9480338
{txt}{space 31}110  {c |}{col 37}{res}{space 2}-3.782409{col 49}{space 2} 1.710113{col 60}{space 1}   -2.21{col 69}{space 3}0.027{col 77}{space 4}-7.134169{col 90}{space 3}-.4306487
{txt}{space 31}130  {c |}{col 37}{res}{space 2}-1.482072{col 49}{space 2} 1.829181{col 60}{space 1}   -0.81{col 69}{space 3}0.418{col 77}{space 4}  -5.0672{col 90}{space 3} 2.103057
{txt}{space 31}135  {c |}{col 37}{res}{space 2} -.090276{col 49}{space 2}  1.79528{col 60}{space 1}   -0.05{col 69}{space 3}0.960{col 77}{space 4}-3.608961{col 90}{space 3} 3.428409
{txt}{space 31}140  {c |}{col 37}{res}{space 2} 1.114328{col 49}{space 2} 1.446215{col 60}{space 1}    0.77{col 69}{space 3}0.441{col 77}{space 4}-1.720201{col 90}{space 3} 3.948857
{txt}{space 31}145  {c |}{col 37}{res}{space 2} .2883985{col 49}{space 2} 1.901141{col 60}{space 1}    0.15{col 69}{space 3}0.879{col 77}{space 4} -3.43777{col 90}{space 3} 4.014567
{txt}{space 31}150  {c |}{col 37}{res}{space 2}-.5852662{col 49}{space 2} 1.857495{col 60}{space 1}   -0.32{col 69}{space 3}0.753{col 77}{space 4} -4.22589{col 90}{space 3} 3.055358
{txt}{space 31}155  {c |}{col 37}{res}{space 2} .7101067{col 49}{space 2}  1.54941{col 60}{space 1}    0.46{col 69}{space 3}0.647{col 77}{space 4}-2.326681{col 90}{space 3} 3.746894
{txt}{space 31}160  {c |}{col 37}{res}{space 2} .5956668{col 49}{space 2} 1.555469{col 60}{space 1}    0.38{col 69}{space 3}0.702{col 77}{space 4}-2.452996{col 90}{space 3} 3.644329
{txt}{space 31}165  {c |}{col 37}{res}{space 2} 1.440449{col 49}{space 2} 1.594844{col 60}{space 1}    0.90{col 69}{space 3}0.366{col 77}{space 4}-1.685388{col 90}{space 3} 4.566285
{txt}{space 31}200  {c |}{col 37}{res}{space 2} .9831366{col 49}{space 2}  .981363{col 60}{space 1}    1.00{col 69}{space 3}0.316{col 77}{space 4}-.9402995{col 90}{space 3} 2.906573
{txt}{space 31}205  {c |}{col 37}{res}{space 2} 1.186355{col 49}{space 2} .9542935{col 60}{space 1}    1.24{col 69}{space 3}0.214{col 77}{space 4} -.684026{col 90}{space 3} 3.056736
{txt}{space 31}210  {c |}{col 37}{res}{space 2} 1.724206{col 49}{space 2} .9857264{col 60}{space 1}    1.75{col 69}{space 3}0.080{col 77}{space 4}-.2077823{col 90}{space 3} 3.656194
{txt}{space 31}211  {c |}{col 37}{res}{space 2} .9355024{col 49}{space 2}  1.06794{col 60}{space 1}    0.88{col 69}{space 3}0.381{col 77}{space 4}-1.157622{col 90}{space 3} 3.028627
{txt}{space 31}220  {c |}{col 37}{res}{space 2} 1.704313{col 49}{space 2}  .945564{col 60}{space 1}    1.80{col 69}{space 3}0.071{col 77}{space 4}-.1489581{col 90}{space 3} 3.557585
{txt}{space 31}225  {c |}{col 37}{res}{space 2}-2.560788{col 49}{space 2} .8927044{col 60}{space 1}   -2.87{col 69}{space 3}0.004{col 77}{space 4}-4.310457{col 90}{space 3}-.8111199
{txt}{space 31}230  {c |}{col 37}{res}{space 2} 1.156905{col 49}{space 2} 1.155166{col 60}{space 1}    1.00{col 69}{space 3}0.317{col 77}{space 4}-1.107178{col 90}{space 3} 3.420989
{txt}{space 31}235  {c |}{col 37}{res}{space 2} 1.012058{col 49}{space 2} 1.312683{col 60}{space 1}    0.77{col 69}{space 3}0.441{col 77}{space 4}-1.560754{col 90}{space 3}  3.58487
{txt}{space 31}255  {c |}{col 37}{res}{space 2} 1.347232{col 49}{space 2} .9704626{col 60}{space 1}    1.39{col 69}{space 3}0.165{col 77}{space 4}-.5548396{col 90}{space 3} 3.249304
{txt}{space 31}290  {c |}{col 37}{res}{space 2} .7757458{col 49}{space 2} 1.485586{col 60}{space 1}    0.52{col 69}{space 3}0.602{col 77}{space 4} -2.13595{col 90}{space 3} 3.687441
{txt}{space 31}305  {c |}{col 37}{res}{space 2} .5009881{col 49}{space 2} 1.032098{col 60}{space 1}    0.49{col 69}{space 3}0.627{col 77}{space 4}-1.521886{col 90}{space 3} 2.523862
{txt}{space 31}310  {c |}{col 37}{res}{space 2}-2.089267{col 49}{space 2} 1.455414{col 60}{space 1}   -1.44{col 69}{space 3}0.151{col 77}{space 4}-4.941826{col 90}{space 3} .7632913
{txt}{space 31}316  {c |}{col 37}{res}{space 2}-1.193707{col 49}{space 2} 1.249297{col 60}{space 1}   -0.96{col 69}{space 3}0.339{col 77}{space 4}-3.642284{col 90}{space 3}  1.25487
{txt}{space 31}317  {c |}{col 37}{res}{space 2} .4290587{col 49}{space 2} 1.463147{col 60}{space 1}    0.29{col 69}{space 3}0.769{col 77}{space 4}-2.438657{col 90}{space 3} 3.296775
{txt}{space 31}325  {c |}{col 37}{res}{space 2} 1.812932{col 49}{space 2} .9581247{col 60}{space 1}    1.89{col 69}{space 3}0.058{col 77}{space 4}-.0649582{col 90}{space 3} 3.690821
{txt}{space 31}339  {c |}{col 37}{res}{space 2}-.8764749{col 49}{space 2} 1.879032{col 60}{space 1}   -0.47{col 69}{space 3}0.641{col 77}{space 4} -4.55931{col 90}{space 3}  2.80636
{txt}{space 31}343  {c |}{col 37}{res}{space 2}-5.290935{col 49}{space 2} 1.795914{col 60}{space 1}   -2.95{col 69}{space 3}0.003{col 77}{space 4}-8.810861{col 90}{space 3}-1.771009
{txt}{space 31}344  {c |}{col 37}{res}{space 2}-.4758013{col 49}{space 2} 1.537952{col 60}{space 1}   -0.31{col 69}{space 3}0.757{col 77}{space 4}-3.490132{col 90}{space 3} 2.538529
{txt}{space 31}345  {c |}{col 37}{res}{space 2}-.7250592{col 49}{space 2} 1.748333{col 60}{space 1}   -0.41{col 69}{space 3}0.678{col 77}{space 4}-4.151729{col 90}{space 3}  2.70161
{txt}{space 31}349  {c |}{col 37}{res}{space 2} -1.45716{col 49}{space 2} 1.335942{col 60}{space 1}   -1.09{col 69}{space 3}0.275{col 77}{space 4}-4.075557{col 90}{space 3} 1.161237
{txt}{space 31}350  {c |}{col 37}{res}{space 2} .1714024{col 49}{space 2} 1.289051{col 60}{space 1}    0.13{col 69}{space 3}0.894{col 77}{space 4}-2.355092{col 90}{space 3} 2.697897
{txt}{space 31}352  {c |}{col 37}{res}{space 2}-5.093592{col 49}{space 2} 1.261613{col 60}{space 1}   -4.04{col 69}{space 3}0.000{col 77}{space 4}-7.566309{col 90}{space 3}-2.620876
{txt}{space 31}355  {c |}{col 37}{res}{space 2}-.8182988{col 49}{space 2} 1.610995{col 60}{space 1}   -0.51{col 69}{space 3}0.611{col 77}{space 4}-3.975791{col 90}{space 3} 2.339194
{txt}{space 31}359  {c |}{col 37}{res}{space 2}-4.335685{col 49}{space 2} 1.967883{col 60}{space 1}   -2.20{col 69}{space 3}0.028{col 77}{space 4}-8.192665{col 90}{space 3}-.4787054
{txt}{space 31}360  {c |}{col 37}{res}{space 2}-.5869908{col 49}{space 2} 1.517807{col 60}{space 1}   -0.39{col 69}{space 3}0.699{col 77}{space 4}-3.561839{col 90}{space 3} 2.387857
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{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} 6.726588{col 49}{space 2} 1.927298{col 60}{space 1}    3.49{col 69}{space 3}0.000{col 77}{space 4} 2.949154{col 90}{space 3} 10.50402
{txt}{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}/lnalpha {c |}{col 37}{res}{space 2}   1.3556{col 49}{space 2} .0621004{col 77}{space 4} 1.233885{col 90}{space 3} 1.477315
{txt}{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                              alpha {c |}{col 37}{res}{space 2} 3.879088{col 49}{space 2} .2408929{col 77}{space 4} 3.434549{col 90}{space 3} 4.381165
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *joint test of interaction*
. testparm L.i.solschdum##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_max]1L.solschdum = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_max]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_max]1L.solschdum#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    3.86
{txt}{col 10}Prob > chi2 =  {res}  0.2769
{txt}
{com}. 
. *MODEL 5: Interaction with 2 years
. nbreg absch_troops_max L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1523671.7}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-833143.19}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-562938.63}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-396815.71}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-391401.28}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-391334.29}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-391334.28}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12508.587}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12198.476}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12152.837}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12150.201}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12150.193}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12150.193}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12150.193}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0514}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_max{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
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{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
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{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
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{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
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{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
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{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
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{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
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{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
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{txt}{space 39} {c |}
{space 31}couprisk {c |}
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{txt}{space 39} {c |}
{space 29}milper_hth {c |}
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{txt}{space 39} {c |}
{space 30}troops_th {c |}
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{txt}{space 39} {c |}
{space 23}absch_troops_max {c |}
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{txt}{space 39} {c |}
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{txt}{space 39} {c |}
{space 34}ccode {c |}
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{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 6.525452{col 53}{space 2} 1.922599{col 64}{space 1}    3.39{col 73}{space 3}0.001{col 81}{space 4} 2.757227{col 94}{space 3} 10.29368
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 1.352608{col 53}{space 2} .0621756{col 81}{space 4} 1.230746{col 94}{space 3}  1.47447
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 3.867497{col 53}{space 2} .2404639{col 81}{space 4} 3.423782{col 94}{space 3} 4.368718
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
.  margins, dydx(L.solsch_2yrs) at(L.polity2_newscale=(4(1)20) L.otherldrtrns_2yrs=(0) L.regtrans_2yrs=(0)) atmeans force
{txt}{p 0 6}note: default prediction  is a function of possibly stochastic quantities other than {bf:e(b)}.{p_end}
{res}
{txt}{col 1}Conditional marginal effects{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,753}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Predicted number of events, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1L.solsch_2yrs}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:4}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:5}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:6}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:7}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:8}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:9}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:10}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:11}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:12}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:13}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:14}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:15}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:16}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:17}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:18}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:19}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 19:0L.solsch_2yrs} = {res:{ralign 8:.7918634}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:1L.solsch_2yrs} = {res:{ralign 8:.2081366}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.polity2_news~e} = {res:{ralign 8:20}}
{lalign 8:}{space 0}{lalign 19:L.otherldrtrns_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.regtrans_2yrs} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 19:L.gdppc_hth} = {res:{ralign 8:.17461}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.prev_conflict} = {res:{ralign 8:.236126}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.couprisk} = {res:{ralign 8:.0017209}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.milper_hth} = {res:{ralign 8:2.059834}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.troops_th} = {res:{ralign 8:.6345245}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:L.absch_troops~x} = {res:{ralign 8:172.9484}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_th} = {res:{ralign 8:75.41969}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:authtroop_c~l_th} = {res:{ralign 8:12.40172}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n} = {res:{ralign 8:17.35561}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n2} = {res:{ralign 8:358.9604}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:yr_n3} = {res:{ralign 8:8149.792}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:2.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:20.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:42.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:51.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:52.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:70.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:90.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:91.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:92.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:100.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:101.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:110.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:130.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:135.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:140.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:145.ccode} = {res:{ralign 8:.0072648}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:150.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:155.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:160.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:165.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:200.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:205.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:210.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:211.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:220.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:225.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:230.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:235.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:255.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:290.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:305.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:310.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:316.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:317.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:325.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:339.ccode} = {res:{ralign 8:.0036324}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:343.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:344.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:345.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:349.ccode} = {res:{ralign 8:.0079913}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:350.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:352.ccode} = {res:{ralign 8:.0043589}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:355.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:359.ccode} = {res:{ralign 8:.0058118}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:360.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:365.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:366.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:367.ccode} = {res:{ralign 8:.0010897}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:368.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:369.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:370.ccode} = {res:{ralign 8:.0029059}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:371.ccode} = {res:{ralign 8:.0025427}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:375.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:380.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:385.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:390.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:404.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:420.ccode} = {res:{ralign 8:.0065383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:432.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:433.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:434.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:435.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:436.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:437.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:438.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:439.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:450.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:451.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:452.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:461.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:471.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:475.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:481.ccode} = {res:{ralign 8:.007628}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:483.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:484.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:490.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:500.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:501.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:510.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:516.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:517.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:522.ccode} = {res:{ralign 8:.0087178}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:530.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:541.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:551.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:552.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:553.ccode} = {res:{ralign 8:.009081}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:560.ccode} = {res:{ralign 8:.0069016}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:565.ccode} = {res:{ralign 8:.0083545}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:570.ccode} = {res:{ralign 8:.0039956}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:571.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:580.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:600.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:615.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:616.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:630.ccode} = {res:{ralign 8:.0007265}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:640.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:651.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:663.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:670.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:679.ccode} = {res:{ralign 8:.0050854}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:690.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:694.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:696.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:702.ccode} = {res:{ralign 8:.0021794}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:703.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:705.ccode} = {res:{ralign 8:.0003632}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:710.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:712.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:732.ccode} = {res:{ralign 8:.0094442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:740.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:750.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:760.ccode} = {res:{ralign 8:.0018162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:770.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:771.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:775.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:780.ccode} = {res:{ralign 8:.0054486}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:790.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:800.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:811.ccode} = {res:{ralign 8:.0047221}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:816.ccode} = {res:{ralign 8:.001453}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:820.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:830.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:840.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:850.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:900.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:920.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 19:950.ccode} = {res:{ralign 8:.0098075}} {txt:(mean)}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0L.solsch_2yrs {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1L.solsch_2yrs  {txt}{c |}
{space 12}_at {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 207.1791{col 29}{space 2} 114.3223{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4} -16.8885{col 70}{space 3} 431.2468
{txt}{space 13}2  {c |}{col 17}{res}{space 2} 181.1818{col 29}{space 2} 94.58832{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}-4.207866{col 70}{space 3} 366.5716
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 157.7268{col 29}{space 2} 77.90767{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} 5.030599{col 70}{space 3}  310.423
{txt}{space 13}4  {c |}{col 17}{res}{space 2}   136.56{col 29}{space 2} 63.87987{col 40}{space 1}    2.14{col 49}{space 3}0.033{col 57}{space 4} 11.35776{col 70}{space 3} 261.7622
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 117.4527{col 29}{space 2} 52.15026{col 40}{space 1}    2.25{col 49}{space 3}0.024{col 57}{space 4} 15.24004{col 70}{space 3} 219.6653
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 100.1989{col 29}{space 2} 42.40355{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} 17.08948{col 70}{space 3} 183.3083
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 84.61336{col 29}{space 2} 34.35824{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 17.27245{col 70}{space 3} 151.9543
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 70.52912{col 29}{space 2} 27.76215{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} 16.11631{col 70}{space 3} 124.9419
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 57.79593{col 29}{space 2} 22.38997{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4}  13.9124{col 70}{space 3} 101.6795
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 46.27853{col 29}{space 2} 18.04395{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} 10.91304{col 70}{space 3} 81.64402
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 35.85514{col 29}{space 2} 14.55975{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 7.318558{col 70}{space 3} 64.39172
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 26.41612{col 29}{space 2} 11.81961{col 40}{space 1}    2.23{col 49}{space 3}0.025{col 57}{space 4} 3.250102{col 70}{space 3} 49.58213
{txt}{space 12}13  {c |}{col 17}{res}{space 2} 17.86275{col 29}{space 2} 9.773452{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-1.292863{col 70}{space 3} 37.01837
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 10.10617{col 29}{space 2} 8.456812{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-6.468873{col 70}{space 3} 26.68122
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 3.066377{col 29}{space 2} 7.962459{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-12.53976{col 70}{space 3} 18.67251
{txt}{space 12}16  {c |}{col 17}{res}{space 2}-3.328676{col 29}{space 2} 8.324872{col 40}{space 1}   -0.40{col 49}{space 3}0.689{col 57}{space 4}-19.64513{col 70}{space 3} 12.98777
{txt}{space 12}17  {c |}{col 17}{res}{space 2} -9.14384{col 29}{space 2}  9.43072{col 40}{space 1}   -0.97{col 49}{space 3}0.332{col 57}{space 4}-27.62771{col 70}{space 3} 9.340032
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.   
.  #delimit; 
{txt}delimiter now ;
{com}. marginsplot, recast(line) recastci(rarea) scheme(s1mono) plot1opts(lcolor(gs8)) ciopt(color(black%20)) graphregion(col(white))
>  xtitle("Polity Score", size(medsmall))
>  ytitle("Marginal Effect of SOLS Change on Change in Troops", size(medsmall))
>  title("")
> xlabel(4 "-6" 5 "-5" 6 "-4" 7 "-3" 8"-2" 9 "-1" 10 "0" 11 "1" 12 "2" 13 "3" 14 "4" 15 "5" 16 "6" 17 "7" 18 "8" 19 "9" 20 "10")
> yline(0, lpattern(dash))
>  ;
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:L.polity2_newscale}{p_end}
{res}{txt}
{com}. *joint test of interaction*
> testparm L.i.solsch_2yrs##L.c.polity2_newscale
> 
> *MODEL 6: Interaction with 3 years
> nbreg absch_troops_max L.i.solsch_3yrs##L.c.polity2_newscale L.otherldrtrns_3yrs##L.c.polity2_newscale L.regtrans_3yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
> 
> *joint test of interaction*
> testparm L.i.solsch_3yrs##L.c.polity2_newscale
> 

{txt}end of do-file

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. summarize absch_troops_max L.solschdum L.solsch_2yrs L.solsch_3yrs L.other_ldrtrns L.otherldrtrns_2yrs L.otherldrtrns_3yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.regtrans L.regtrans_2yrs L.regtrans_3yrs L.milper_hth L.troops_th authtroop_th authtroop_change_absval_th L.absch_troops_max if samp==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
absch_troo~x {c |}{res}      2,753    176.4664    515.4434          0       9806
{txt}{space 12} {c |}
{space 3}solschdum {c |}
{space 9}L1. {c |}{res}      2,753    .1086088    .3112043          0          1
{txt}{space 12} {c |}
{space 1}solsch_2yrs {c |}
{space 9}L1. {c |}{res}      2,753    .2081366    .4060488          0          1
{txt}{space 12} {c |}
{space 1}solsch_3yrs {c |}
{space 9}L1. {c |}{res}      2,753    .2974936    .4572386          0          1
{txt}{space 12} {c |}
other_ldrt~s {c |}
{space 9}L1. {c |}{res}      2,753     .072648     .259605          0          1
{txt}{hline 13}{c +}{hline 57}
{space 12} {c |}
otherld~2yrs {c |}
{space 9}L1. {c |}{res}      2,753    .1325826    .3391847          0          1
{txt}{space 12} {c |}
otherld~3yrs {c |}
{space 9}L1. {c |}{res}      2,753    .1870687    .3900375          0          1
{txt}{space 12} {c |}
polity2_ne~e {c |}
{space 9}L1. {c |}{res}      2,753    14.89829     5.70615          0         20
{txt}{space 12} {c |}
{space 3}gdppc_hth {c |}
{space 9}L1. {c |}{res}      2,753      .17461    .1949414   .0038116   1.665205
{txt}{space 12} {c |}
prev_confl~t {c |}
{space 9}L1. {c |}{res}      2,753     .236126     .744528          0          8
{txt}{hline 13}{c +}{hline 57}
{space 12} {c |}
{space 4}couprisk {c |}
{space 9}L1. {c |}{res}      2,753    .0017209    .0026231   .0000475   .0272665
{txt}{space 12} {c |}
{space 4}regtrans {c |}
{space 9}L1. {c |}{res}      2,753    .0236106    .1518602          0          1
{txt}{space 12} {c |}
regtrans_2~s {c |}
{space 9}L1. {c |}{res}      2,753    .0486742    .2152251          0          1
{txt}{space 12} {c |}
regtrans_3~s {c |}
{space 9}L1. {c |}{res}      2,753     .072648     .259605          0          1
{txt}{space 12} {c |}
{space 2}milper_hth {c |}
{space 9}L1. {c |}{res}      2,753    2.059834    4.689126       .008      41.35
{txt}{hline 13}{c +}{hline 57}
{space 12} {c |}
{space 3}troops_th {c |}
{space 9}L1. {c |}{res}      2,753    .6345245    1.384131          0     10.214
{txt}{space 12} {c |}
authtroop_th {c |}{res}      2,753    75.41969    31.45377     13.253    113.227
{txt}authtro~l_th {c |}{res}      2,753    12.40172    14.03423       .043     63.589
{txt}{space 12} {c |}
absch_troo~x {c |}
{space 9}L1. {c |}{res}      2,753    172.9484     514.403          0       9806
{txt}
{com}. 
. 
. 
. ********************************************************************************
. *Number of zeros in current DV as a result of no troops contributed (Table 2A)** 
. ********************************************************************************
. 
. sort ccode year
{txt}
{com}. 
. *Check number of observations that reflect a zero contribution in both t and t-1
. 
. tab dvzero_t_t1 if samp==1

{txt}dvzero_t_t1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,206       80.13       80.13
{txt}          1 {c |}{res}        547       19.87      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,753      100.00
{txt}
{com}. 
. *Check by dummy regime type
. 
. tab dvzero_t_t1 dem_dum if samp==1, column
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

dvzero_t_t {c |}    democracy dummy
         1 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       740      1,466 {txt}{c |}{res}     2,206 
           {txt}{c |}{res}     74.30      83.44 {txt}{c |}{res}     80.13 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}       256        291 {txt}{c |}{res}       547 
           {txt}{c |}{res}     25.70      16.56 {txt}{c |}{res}     19.87 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       996      1,757 {txt}{c |}{res}     2,753 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 
{txt}
{com}. 
. **# of obs with 0 troops in t and t-1**
. ** democracies: 291 or 16.56% (of dem obs)
. ** non democracies: 256 or 25.70% (of non-dem obs)
. 
. 
. 
. 
. *******************************************************************
. *Average contribution by regime type across years (Figure 6A)**
. *******************************************************************
. 
. collapse (mean) troops_max if troops_ever==1, by(dem_dum year)
{res}{txt}
{com}. 
. gen dem_troops=troops_max if dem_dum==1
{txt}(29 missing values generated)

{com}. gen nondem_troops=troops_max if dem_dum==0
{txt}(29 missing values generated)

{com}. 
. collapse dem_troops nondem_troops, by(year)
{res}{txt}
{com}. 
. gen troops_absdiff=abs(dem_troops-nondem_troops)
{txt}
{com}. 
. line dem_troops nondem_troops troops_absdiff year, ylabel(0(250)1750) ytitle("Average Troops") xtitle("Year") legend(label(1 "Democracies") label(2 "Non democracies") label(3 "Absolute difference")) lpattern("l" "-" "_-")
{res}{txt}
{com}. 
. 
. ******************************************************
. *Total troops by regime type across years (Figure 7A)**
. ******************************************************
. 
. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_data.dta", clear 
{txt}
{com}. 
. collapse (sum) troops_max if troops_ever==1, by(dem_dum year)
{res}{txt}
{com}. 
. gen dem_troops_total=troops_max if dem_dum==1
{txt}(29 missing values generated)

{com}. gen nondem_troops_total=troops_max if dem_dum==0
{txt}(29 missing values generated)

{com}. 
. collapse dem_troops_total nondem_troops_total, by(year)
{res}{txt}
{com}. 
. gen troops_total_absdiff=abs(dem_troops_total-nondem_troops_total)
{txt}
{com}. 
. line dem_troops_total nondem_troops_total troops_total_absdiff year, ylabel(0(10000)70000) ytitle("Total Troops") xtitle("Year") legend(label(1 "Democracies") label(2 "Non democracies") label(3 "Absolute difference")) lpattern("l" "-" "_-")
{res}{txt}
{com}. 
. 
. 
. ***********************************************************
. *# of contributors by regime type across years (Figure 8A)**
. ***********************************************************
. 
. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_data.dta", clear 
{txt}
{com}. 
. collapse (sum) troops_any if troops_ever==1, by(dem_dum year)
{res}{txt}
{com}. 
. gen dem_contributors=troops_any if dem_dum==1
{txt}(29 missing values generated)

{com}. gen nondem_contributors=troops_any if dem_dum==0
{txt}(29 missing values generated)

{com}. 
. collapse dem_contributors nondem_contributors, by(year)
{res}{txt}
{com}. 
. gen contributors_absdiff=abs(dem_contributors-nondem_contributors)
{txt}
{com}. 
. line dem_contributors nondem_contributors contributors_absdiff year, ylabel(0(10)80) ytitle("# of Contributors") xtitle("Year") legend(label(1 "Democracies") label(2 "Non democracies") label(3 "Absolute difference")) lpattern("l" "-" "_-")
{res}{txt}
{com}. 
{txt}end of do-file

{com}. cd "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA"
{res}C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_data.dta", clear 
{txt}
{com}. 
. scatter troops_max polity2 if troops_ever==1 & year<=1999, xlabel(-10(1)10) title(1990-1999, size(medium)) ytitle(Troops) xtitle(Polity) saving(troops_polity_pre2000)
{res}{txt}file {bf:troops_polity_pre2000.gph} saved

{com}. scatter troops_max polity2 if troops_ever==1 & year>=1999, xlabel(-10(1)10) title(1999-2018, size(medium)) ytitle(Troops) xtitle(Polity) saving(troops_polity_post1999)
{res}{txt}file {bf:troops_polity_post1999.gph} saved

{com}. 
. **Figure 9A**
. graph combine troops_polity_pre2000.gph troops_polity_post1999.gph
{res}{txt}
{com}. 
. *
. twoway hist troops_max if polity2>=6 & troops_ever==1 & year<=1999, title("Democracies, 1990-1999", size(medium)) xtitle(Troops) saving(hist_demtroops_pre2000)
{res}{txt}file {bf:hist_demtroops_pre2000.gph} saved

{com}. twoway hist troops_max if polity2<6 & troops_ever==1 & year<=1999, title("Non-democracies, 1990-1999", size(medium)) xtitle(Troops) ytitle("") saving(hist_nondemtroops_pre2000)
{res}{txt}file {bf:hist_nondemtroops_pre2000.gph} saved

{com}. 
. twoway hist troops_max if polity2>=6 & troops_ever==1 & year>=1999, title("Democracies, 1999-2000", size(medium)) xtitle(Troops) saving(hist_demtroops_post2000)
{res}{txt}file {bf:hist_demtroops_post2000.gph} saved

{com}. twoway hist troops_max if polity2<6 & troops_ever==1 & year>=1999, title("Non-democracies, 1999-2000", size(medium)) xtitle(Troops) ytitle("") saving(hist_nondemtroops_post2000)
{res}{txt}file {bf:hist_nondemtroops_post2000.gph} saved

{com}. 
. **Figure 10A**
. graph combine hist_demtroops_pre2000.gph hist_nondemtroops_pre2000.gph hist_demtroops_post2000.gph hist_nondemtroops_post2000.gph
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. *Model 7
. 
. nbreg absch_troops_max L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth  L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if dvzero_t_t1==0, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-961161.43}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-808430.86}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-377375.13}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -366596.6}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-366368.25}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-366367.86}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-366367.86}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14111.579}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12061.794}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12032.826}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12032.626}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12032.626}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11749.174}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11725.272}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11541.642}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11529.801}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11529.575}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11529.575}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,206}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11529.575}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0418}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0959157{col 40}{space 2} .1106097{col 51}{space 1}    0.87{col 60}{space 3}0.386{col 68}{space 4}-.1208753{col 81}{space 3} .3127067
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0106801{col 40}{space 2} .1279932{col 51}{space 1}   -0.08{col 60}{space 3}0.933{col 68}{space 4}-.2615422{col 81}{space 3}  .240182
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1532423{col 40}{space 2} .2162266{col 51}{space 1}    0.71{col 60}{space 3}0.479{col 68}{space 4}-.2705541{col 81}{space 3} .5770387
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0245875{col 40}{space 2} .0277248{col 51}{space 1}   -0.89{col 60}{space 3}0.375{col 68}{space 4}-.0789271{col 81}{space 3}  .029752
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-2.031348{col 40}{space 2} 1.850393{col 51}{space 1}   -1.10{col 60}{space 3}0.272{col 68}{space 4}-5.658052{col 81}{space 3} 1.595356
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3472705{col 40}{space 2} .2579443{col 51}{space 1}   -1.35{col 60}{space 3}0.178{col 68}{space 4}-.8528321{col 81}{space 3} .1582911
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-61.04299{col 40}{space 2} 39.16052{col 51}{space 1}   -1.56{col 60}{space 3}0.119{col 68}{space 4}-137.7962{col 81}{space 3} 15.71022
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0721255{col 40}{space 2}  .065337{col 51}{space 1}    1.10{col 60}{space 3}0.270{col 68}{space 4}-.0559326{col 81}{space 3} .2001837
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .157837{col 40}{space 2} .0914923{col 51}{space 1}    1.73{col 60}{space 3}0.085{col 68}{space 4}-.0214847{col 81}{space 3} .3371587
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0001703{col 40}{space 2}   .00009{col 51}{space 1}   -1.89{col 60}{space 3}0.059{col 68}{space 4}-.0003467{col 81}{space 3} 6.19e-06
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2}-.0015154{col 40}{space 2} .0019157{col 51}{space 1}   -0.79{col 60}{space 3}0.429{col 68}{space 4}  -.00527{col 81}{space 3} .0022393
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2}  .014695{col 40}{space 2} .0034725{col 51}{space 1}    4.23{col 60}{space 3}0.000{col 68}{space 4} .0078891{col 81}{space 3} .0215009
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.1864318{col 40}{space 2} .0918006{col 51}{space 1}   -2.03{col 60}{space 3}0.042{col 68}{space 4}-.3663576{col 81}{space 3}-.0065059
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0060968{col 40}{space 2} .0065601{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-.0067607{col 81}{space 3} .0189543
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2}-.0000555{col 40}{space 2} .0001349{col 51}{space 1}   -0.41{col 60}{space 3}0.681{col 68}{space 4}-.0003199{col 81}{space 3} .0002089
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} .8707901{col 40}{space 2}  1.09542{col 51}{space 1}    0.79{col 60}{space 3}0.427{col 68}{space 4}-1.276194{col 81}{space 3} 3.017774
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-4.131578{col 40}{space 2} 1.413572{col 51}{space 1}   -2.92{col 60}{space 3}0.003{col 68}{space 4}-6.902127{col 81}{space 3}-1.361029
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-1.201114{col 40}{space 2} 1.403904{col 51}{space 1}   -0.86{col 60}{space 3}0.392{col 68}{space 4}-3.952715{col 81}{space 3} 1.550487
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{txt}{space 22}696  {c |}{col 28}{res}{space 2} 1.865648{col 40}{space 2} 1.506996{col 51}{space 1}    1.24{col 60}{space 3}0.216{col 68}{space 4} -1.08801{col 81}{space 3} 4.819306
{txt}{space 22}702  {c |}{col 28}{res}{space 2}-5.000271{col 40}{space 2} 1.535109{col 51}{space 1}   -3.26{col 60}{space 3}0.001{col 68}{space 4} -8.00903{col 81}{space 3}-1.991512
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-4.393161{col 40}{space 2} 1.569734{col 51}{space 1}   -2.80{col 60}{space 3}0.005{col 68}{space 4}-7.469784{col 81}{space 3}-1.316539
{txt}{space 22}705  {c |}{col 28}{res}{space 2} .4381823{col 40}{space 2}  1.24626{col 51}{space 1}    0.35{col 60}{space 3}0.725{col 68}{space 4}-2.004442{col 81}{space 3} 2.880807
{txt}{space 22}710  {c |}{col 28}{res}{space 2}-2.071655{col 40}{space 2} 1.265359{col 51}{space 1}   -1.64{col 60}{space 3}0.102{col 68}{space 4}-4.551714{col 81}{space 3}  .408404
{txt}{space 22}712  {c |}{col 28}{res}{space 2}  .649132{col 40}{space 2} 1.502156{col 51}{space 1}    0.43{col 60}{space 3}0.666{col 68}{space 4}-2.295039{col 81}{space 3} 3.593303
{txt}{space 22}732  {c |}{col 28}{res}{space 2}-.2810734{col 40}{space 2} .8342823{col 51}{space 1}   -0.34{col 60}{space 3}0.736{col 68}{space 4}-1.916237{col 81}{space 3}  1.35409
{txt}{space 22}740  {c |}{col 28}{res}{space 2} .6756975{col 40}{space 2} 1.031184{col 51}{space 1}    0.66{col 60}{space 3}0.512{col 68}{space 4}-1.345387{col 81}{space 3} 2.696782
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 2.204537{col 40}{space 2}  1.60761{col 51}{space 1}    1.37{col 60}{space 3}0.170{col 68}{space 4}-.9463212{col 81}{space 3} 5.355395
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-3.421667{col 40}{space 2} 1.507293{col 51}{space 1}   -2.27{col 60}{space 3}0.023{col 68}{space 4}-6.375908{col 81}{space 3}-.4674263
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 1.618037{col 40}{space 2} 1.177829{col 51}{space 1}    1.37{col 60}{space 3}0.170{col 68}{space 4}-.6904661{col 81}{space 3} 3.926539
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 1.459648{col 40}{space 2} 1.341591{col 51}{space 1}    1.09{col 60}{space 3}0.277{col 68}{space 4}-1.169821{col 81}{space 3} 4.089117
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-3.854975{col 40}{space 2} 1.729994{col 51}{space 1}   -2.23{col 60}{space 3}0.026{col 68}{space 4}-7.245702{col 81}{space 3}-.4642486
{txt}{space 22}780  {c |}{col 28}{res}{space 2} .6002718{col 40}{space 2} 1.336923{col 51}{space 1}    0.45{col 60}{space 3}0.653{col 68}{space 4} -2.02005{col 81}{space 3} 3.220593
{txt}{space 22}790  {c |}{col 28}{res}{space 2} .6224199{col 40}{space 2} 1.434316{col 51}{space 1}    0.43{col 60}{space 3}0.664{col 68}{space 4}-2.188789{col 81}{space 3} 3.433629
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 1.037981{col 40}{space 2} 1.297083{col 51}{space 1}    0.80{col 60}{space 3}0.424{col 68}{space 4}-1.504254{col 81}{space 3} 3.580216
{txt}{space 22}811  {c |}{col 28}{res}{space 2} -.236477{col 40}{space 2} 1.444037{col 51}{space 1}   -0.16{col 60}{space 3}0.870{col 68}{space 4}-3.066737{col 81}{space 3} 2.593783
{txt}{space 22}816  {c |}{col 28}{res}{space 2}-2.267346{col 40}{space 2}  1.26504{col 51}{space 1}   -1.79{col 60}{space 3}0.073{col 68}{space 4}-4.746779{col 81}{space 3} .2120874
{txt}{space 22}820  {c |}{col 28}{res}{space 2}  .050034{col 40}{space 2} 1.214874{col 51}{space 1}    0.04{col 60}{space 3}0.967{col 68}{space 4}-2.331075{col 81}{space 3} 2.431143
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-.9106834{col 40}{space 2} 1.041451{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4} -2.95189{col 81}{space 3} 1.130523
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 1.083942{col 40}{space 2} 1.869823{col 51}{space 1}    0.58{col 60}{space 3}0.562{col 68}{space 4}-2.580843{col 81}{space 3} 4.748727
{txt}{space 22}850  {c |}{col 28}{res}{space 2} .3491971{col 40}{space 2} 1.205094{col 51}{space 1}    0.29{col 60}{space 3}0.772{col 68}{space 4}-2.012744{col 81}{space 3} 2.711138
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 1.145343{col 40}{space 2}   1.1333{col 51}{space 1}    1.01{col 60}{space 3}0.312{col 68}{space 4}-1.075884{col 81}{space 3} 3.366569
{txt}{space 22}920  {c |}{col 28}{res}{space 2}-.0243168{col 40}{space 2} 1.228433{col 51}{space 1}   -0.02{col 60}{space 3}0.984{col 68}{space 4}-2.432001{col 81}{space 3} 2.383368
{txt}{space 22}950  {c |}{col 28}{res}{space 2}-.2018215{col 40}{space 2} 1.413094{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4}-2.971434{col 81}{space 3} 2.567791
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 6.633399{col 40}{space 2} 1.386461{col 51}{space 1}    4.78{col 60}{space 3}0.000{col 68}{space 4} 3.915986{col 81}{space 3} 9.350812
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.018263{col 40}{space 2} .0387374{col 68}{space 4} .9423394{col 81}{space 3} 1.094187
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.768383{col 40}{space 2}   .10724{col 68}{space 4} 2.565977{col 81}{space 3} 2.986754
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 8
. 
. nbreg absch_troops_max L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth  L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if dvzero_t_t1==0, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-965162.62}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-861262.07}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-376199.26}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-363869.96}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-363557.32}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-363556.46}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-363556.46}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14111.579}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12061.794}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12032.826}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12032.626}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12032.626}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11747.113}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11550.079}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11526.027}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11524.411}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11524.407}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11524.407}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,206}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11524.407}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0422}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_max{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 1.922683{col 53}{space 2} .5044697{col 64}{space 1}    3.81{col 73}{space 3}0.000{col 81}{space 4} .9339405{col 94}{space 3} 2.911425
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0008438{col 53}{space 2} .0274269{col 64}{space 1}   -0.03{col 73}{space 3}0.975{col 81}{space 4}-.0545994{col 94}{space 3} .0529119
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1017475{col 53}{space 2} .0292231{col 64}{space 1}   -3.48{col 73}{space 3}0.000{col 81}{space 4}-.1590237{col 94}{space 3}-.0444713
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}  .042491{col 53}{space 2} .4666506{col 64}{space 1}    0.09{col 73}{space 3}0.927{col 81}{space 4}-.8721273{col 94}{space 3} .9571093
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0028812{col 53}{space 2} .0271178{col 64}{space 1}   -0.11{col 73}{space 3}0.915{col 81}{space 4}-.0560311{col 94}{space 3} .0502687
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0035714{col 53}{space 2} .2048781{col 64}{space 1}   -0.02{col 73}{space 3}0.986{col 81}{space 4} -.405125{col 94}{space 3} .3979822
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-1.739404{col 53}{space 2} 1.826931{col 64}{space 1}   -0.95{col 73}{space 3}0.341{col 81}{space 4}-5.320124{col 94}{space 3} 1.841316
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3580946{col 53}{space 2} .2437432{col 64}{space 1}   -1.47{col 73}{space 3}0.142{col 81}{space 4}-.8358225{col 94}{space 3} .1196333
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-87.39391{col 53}{space 2} 34.15203{col 64}{space 1}   -2.56{col 73}{space 3}0.010{col 81}{space 4}-154.3307{col 94}{space 3}-20.45715
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0636148{col 53}{space 2} .0594331{col 64}{space 1}    1.07{col 73}{space 3}0.284{col 81}{space 4}-.0528718{col 94}{space 3} .1801015
{txt}{space 39} {c |}
{space 30}troops_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .1667024{col 53}{space 2} .0863373{col 64}{space 1}    1.93{col 73}{space 3}0.054{col 81}{space 4}-.0025155{col 94}{space 3} .3359204
{txt}{space 39} {c |}
{space 23}absch_troops_max {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0001743{col 53}{space 2} .0000867{col 64}{space 1}   -2.01{col 73}{space 3}0.044{col 81}{space 4}-.0003442{col 94}{space 3}-4.41e-06
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2}-.0016163{col 53}{space 2} .0019138{col 64}{space 1}   -0.84{col 73}{space 3}0.398{col 81}{space 4}-.0053672{col 94}{space 3} .0021346
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2} .0143554{col 53}{space 2} .0033994{col 64}{space 1}    4.22{col 73}{space 3}0.000{col 81}{space 4} .0076927{col 94}{space 3} .0210181
{txt}{space 35}yr_n {c |}{col 41}{res}{space 2}-.1998471{col 53}{space 2} .0889592{col 64}{space 1}   -2.25{col 73}{space 3}0.025{col 81}{space 4}-.3742038{col 94}{space 3}-.0254903
{txt}{space 34}yr_n2 {c |}{col 41}{res}{space 2} .0064354{col 53}{space 2} .0063708{col 64}{space 1}    1.01{col 73}{space 3}0.312{col 81}{space 4} -.006051{col 94}{space 3} .0189219
{txt}{space 34}yr_n3 {c |}{col 41}{res}{space 2}-.0000584{col 53}{space 2} .0001313{col 64}{space 1}   -0.44{col 73}{space 3}0.657{col 81}{space 4}-.0003158{col 94}{space 3}  .000199
{txt}{space 39} {c |}
{space 34}ccode {c |}
{space 36}20  {c |}{col 41}{res}{space 2} .7369709{col 53}{space 2} 1.007546{col 64}{space 1}    0.73{col 73}{space 3}0.465{col 81}{space 4}-1.237783{col 94}{space 3} 2.711725
{txt}{space 36}42  {c |}{col 41}{res}{space 2}-4.094569{col 53}{space 2} 1.327829{col 64}{space 1}   -3.08{col 73}{space 3}0.002{col 81}{space 4}-6.697066{col 94}{space 3}-1.492072
{txt}{space 36}51  {c |}{col 41}{res}{space 2}-1.262407{col 53}{space 2} 1.305526{col 64}{space 1}   -0.97{col 73}{space 3}0.334{col 81}{space 4}-3.821191{col 94}{space 3} 1.296377
{txt}{space 36}52  {c |}{col 41}{res}{space 2}-2.025447{col 53}{space 2} 1.253641{col 64}{space 1}   -1.62{col 73}{space 3}0.106{col 81}{space 4}-4.482538{col 94}{space 3} .4316444
{txt}{space 36}70  {c |}{col 41}{res}{space 2}-3.108092{col 53}{space 2} 1.152399{col 64}{space 1}   -2.70{col 73}{space 3}0.007{col 81}{space 4}-5.366752{col 94}{space 3}-.8494324
{txt}{space 36}90  {c |}{col 41}{res}{space 2}-.8017763{col 53}{space 2}  1.40513{col 64}{space 1}   -0.57{col 73}{space 3}0.568{col 81}{space 4}-3.555781{col 94}{space 3} 1.952228
{txt}{space 36}91  {c |}{col 41}{res}{space 2}-1.530055{col 53}{space 2}  1.40694{col 64}{space 1}   -1.09{col 73}{space 3}0.277{col 81}{space 4}-4.287607{col 94}{space 3} 1.227498
{txt}{space 36}92  {c |}{col 41}{res}{space 2}-.8302576{col 53}{space 2} 1.418688{col 64}{space 1}   -0.59{col 73}{space 3}0.558{col 81}{space 4}-3.610835{col 94}{space 3} 1.950319
{txt}{space 35}100  {c |}{col 41}{res}{space 2}-3.418028{col 53}{space 2} 1.499727{col 64}{space 1}   -2.28{col 73}{space 3}0.023{col 81}{space 4}-6.357439{col 94}{space 3}-.4786169
{txt}{space 35}101  {c |}{col 41}{res}{space 2}-1.764093{col 53}{space 2} 1.313576{col 64}{space 1}   -1.34{col 73}{space 3}0.179{col 81}{space 4}-4.338655{col 94}{space 3} .8104679
{txt}{space 35}110  {c |}{col 41}{res}{space 2}-1.741834{col 53}{space 2} 1.312369{col 64}{space 1}   -1.33{col 73}{space 3}0.184{col 81}{space 4}-4.314031{col 94}{space 3} .8303629
{txt}{space 35}130  {c |}{col 41}{res}{space 2}-1.699802{col 53}{space 2} 1.354787{col 64}{space 1}   -1.25{col 73}{space 3}0.210{col 81}{space 4}-4.355136{col 94}{space 3}  .955532
{txt}{space 35}135  {c |}{col 41}{res}{space 2}-.5659109{col 53}{space 2} 1.353137{col 64}{space 1}   -0.42{col 73}{space 3}0.676{col 81}{space 4}-3.218011{col 94}{space 3} 2.086189
{txt}{space 35}140  {c |}{col 41}{res}{space 2}  .478686{col 53}{space 2} .9914669{col 64}{space 1}    0.48{col 73}{space 3}0.629{col 81}{space 4}-1.464553{col 94}{space 3} 2.421925
{txt}{space 35}145  {c |}{col 41}{res}{space 2}-.4803942{col 53}{space 2} 1.388717{col 64}{space 1}   -0.35{col 73}{space 3}0.729{col 81}{space 4} -3.20223{col 94}{space 3} 2.241441
{txt}{space 35}150  {c |}{col 41}{res}{space 2}-1.283682{col 53}{space 2} 1.392757{col 64}{space 1}   -0.92{col 73}{space 3}0.357{col 81}{space 4}-4.013435{col 94}{space 3} 1.446072
{txt}{space 35}155  {c |}{col 41}{res}{space 2} .2625059{col 53}{space 2} 1.225119{col 64}{space 1}    0.21{col 73}{space 3}0.830{col 81}{space 4}-2.138684{col 94}{space 3} 2.663696
{txt}{space 35}160  {c |}{col 41}{res}{space 2} .0813967{col 53}{space 2} 1.208783{col 64}{space 1}    0.07{col 73}{space 3}0.946{col 81}{space 4}-2.287775{col 94}{space 3} 2.450568
{txt}{space 35}165  {c |}{col 41}{res}{space 2} .8753355{col 53}{space 2} 1.233269{col 64}{space 1}    0.71{col 73}{space 3}0.478{col 81}{space 4}-1.541827{col 94}{space 3} 3.292498
{txt}{space 35}200  {c |}{col 41}{res}{space 2} 1.006237{col 53}{space 2} .9001143{col 64}{space 1}    1.12{col 73}{space 3}0.264{col 81}{space 4} -.757955{col 94}{space 3} 2.770428
{txt}{space 35}205  {c |}{col 41}{res}{space 2} .8295899{col 53}{space 2} 1.043228{col 64}{space 1}    0.80{col 73}{space 3}0.426{col 81}{space 4}-1.215099{col 94}{space 3} 2.874279
{txt}{space 35}210  {c |}{col 41}{res}{space 2} 1.363699{col 53}{space 2} 1.030684{col 64}{space 1}    1.32{col 73}{space 3}0.186{col 81}{space 4}-.6564034{col 94}{space 3} 3.383802
{txt}{space 35}211  {c |}{col 41}{res}{space 2} .6773838{col 53}{space 2} 1.037363{col 64}{space 1}    0.65{col 73}{space 3}0.514{col 81}{space 4}-1.355811{col 94}{space 3} 2.710579
{txt}{space 35}220  {c |}{col 41}{res}{space 2} 1.341089{col 53}{space 2} .8214798{col 64}{space 1}    1.63{col 73}{space 3}0.103{col 81}{space 4}-.2689821{col 94}{space 3}  2.95116
{txt}{space 35}225  {c |}{col 41}{res}{space 2}-2.489125{col 53}{space 2} 1.008692{col 64}{space 1}   -2.47{col 73}{space 3}0.014{col 81}{space 4}-4.466124{col 94}{space 3}-.5121256
{txt}{space 35}230  {c |}{col 41}{res}{space 2} .7155395{col 53}{space 2} 1.040707{col 64}{space 1}    0.69{col 73}{space 3}0.492{col 81}{space 4}-1.324208{col 94}{space 3} 2.755287
{txt}{space 35}235  {c |}{col 41}{res}{space 2}  .410854{col 53}{space 2} 1.130455{col 64}{space 1}    0.36{col 73}{space 3}0.716{col 81}{space 4}-1.804797{col 94}{space 3} 2.626505
{txt}{space 35}255  {c |}{col 41}{res}{space 2} .9758468{col 53}{space 2} .9300522{col 64}{space 1}    1.05{col 73}{space 3}0.294{col 81}{space 4} -.847022{col 94}{space 3} 2.798716
{txt}{space 35}290  {c |}{col 41}{res}{space 2} .4830111{col 53}{space 2} 1.158581{col 64}{space 1}    0.42{col 73}{space 3}0.677{col 81}{space 4}-1.787767{col 94}{space 3} 2.753789
{txt}{space 35}305  {c |}{col 41}{res}{space 2} .1471665{col 53}{space 2} 1.051806{col 64}{space 1}    0.14{col 73}{space 3}0.889{col 81}{space 4}-1.914336{col 94}{space 3} 2.208669
{txt}{space 35}310  {c |}{col 41}{res}{space 2}-2.494684{col 53}{space 2}  1.19834{col 64}{space 1}   -2.08{col 73}{space 3}0.037{col 81}{space 4}-4.843387{col 94}{space 3}-.1459817
{txt}{space 35}316  {c |}{col 41}{res}{space 2}-1.204683{col 53}{space 2} 1.121293{col 64}{space 1}   -1.07{col 73}{space 3}0.283{col 81}{space 4}-3.402377{col 94}{space 3} .9930099
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{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *joint test of interaction*
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_max]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_max]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_max]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   17.50
{txt}{col 10}Prob > chi2 =  {res}  0.0006
{txt}
{com}. 
.  
. 
.  *************************************************************
.  **Analyses of troop increases and decreases (Table 4A)*******
.  *************************************************************
. 
.  **Troop increases**
. *Model 9
. nbreg troop_inc L.solsch_2yrs L.otherldrtrns_2yrs L.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.troop_inc authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2064627.6}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1375866.9}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-846825.99}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-543351.82}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-392110.21}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-353539.46}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-352111.22}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-352105.93}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-352105.93}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -15468.58}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7979.2995}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-7848.2878}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-7831.5562}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-7831.5253}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-7831.5253}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7751.7138}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7613.1434}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-7569.5121}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-7542.3992}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-7541.6525}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-7541.6409}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-7541.6409}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-7541.6409}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0370}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                 troop_inc{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1901897{col 40}{space 2} .2245974{col 51}{space 1}    0.85{col 60}{space 3}0.397{col 68}{space 4}-.2500131{col 81}{space 3} .6303925
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1434592{col 40}{space 2} .2842673{col 51}{space 1}    0.50{col 60}{space 3}0.614{col 68}{space 4}-.4136944{col 81}{space 3} .7006128
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0229678{col 40}{space 2} .0622639{col 51}{space 1}   -0.37{col 60}{space 3}0.712{col 68}{space 4}-.1450028{col 81}{space 3} .0990671
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.2592611{col 40}{space 2} .3431645{col 51}{space 1}   -0.76{col 60}{space 3}0.450{col 68}{space 4}-.9318512{col 81}{space 3} .4133289
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3001425{col 40}{space 2} 4.780645{col 51}{space 1}   -0.06{col 60}{space 3}0.950{col 68}{space 4}-9.670035{col 81}{space 3}  9.06975
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.6597653{col 40}{space 2} .3101846{col 51}{space 1}   -2.13{col 60}{space 3}0.033{col 68}{space 4}-1.267716{col 81}{space 3}-.0518147
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-130.9587{col 40}{space 2} 59.24598{col 51}{space 1}   -2.21{col 60}{space 3}0.027{col 68}{space 4}-247.0787{col 81}{space 3}-14.83875
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .211021{col 40}{space 2} .1072161{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .0008812{col 81}{space 3} .4211608
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.5180508{col 40}{space 2} .1554091{col 51}{space 1}   -3.33{col 60}{space 3}0.001{col 68}{space 4} -.822647{col 81}{space 3}-.2134546
{txt}{space 26} {c |}
{space 17}troop_inc {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .000146{col 40}{space 2} .0001633{col 51}{space 1}    0.89{col 60}{space 3}0.371{col 68}{space 4} -.000174{col 81}{space 3}  .000466
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2}  .021255{col 40}{space 2} .0096425{col 51}{space 1}    2.20{col 60}{space 3}0.028{col 68}{space 4}  .002356{col 81}{space 3}  .040154
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2}-.0000214{col 40}{space 2} .0120195{col 51}{space 1}   -0.00{col 60}{space 3}0.999{col 68}{space 4}-.0235791{col 81}{space 3} .0235363
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.8535669{col 40}{space 2} .2113973{col 51}{space 1}   -4.04{col 60}{space 3}0.000{col 68}{space 4}-1.267898{col 81}{space 3}-.4392359
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0402955{col 40}{space 2} .0159188{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .0090953{col 81}{space 3} .0714957
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2}-.0006815{col 40}{space 2} .0003351{col 51}{space 1}   -2.03{col 60}{space 3}0.042{col 68}{space 4}-.0013383{col 81}{space 3}-.0000248
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} 4.032691{col 40}{space 2} 1.979772{col 51}{space 1}    2.04{col 60}{space 3}0.042{col 68}{space 4}  .152408{col 81}{space 3} 7.912973
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-.8879574{col 40}{space 2} 3.203825{col 51}{space 1}   -0.28{col 60}{space 3}0.782{col 68}{space 4} -7.16734{col 81}{space 3} 5.391425
{txt}{space 23}51  {c |}{col 28}{res}{space 2} -.821471{col 40}{space 2} 2.941463{col 51}{space 1}   -0.28{col 60}{space 3}0.780{col 68}{space 4}-6.586633{col 81}{space 3} 4.943691
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-1.277572{col 40}{space 2} 2.681735{col 51}{space 1}   -0.48{col 60}{space 3}0.634{col 68}{space 4}-6.533675{col 81}{space 3} 3.978531
{txt}{space 23}70  {c |}{col 28}{res}{space 2} .5097984{col 40}{space 2} 2.721064{col 51}{space 1}    0.19{col 60}{space 3}0.851{col 68}{space 4}-4.823388{col 81}{space 3} 5.842985
{txt}{space 23}90  {c |}{col 28}{res}{space 2} 2.846804{col 40}{space 2} 3.257881{col 51}{space 1}    0.87{col 60}{space 3}0.382{col 68}{space 4}-3.538525{col 81}{space 3} 9.232133
{txt}{space 23}91  {c |}{col 28}{res}{space 2} 1.052742{col 40}{space 2} 3.468937{col 51}{space 1}    0.30{col 60}{space 3}0.762{col 68}{space 4}-5.746249{col 81}{space 3} 7.851733
{txt}{space 23}92  {c |}{col 28}{res}{space 2} 3.451766{col 40}{space 2}  3.43253{col 51}{space 1}    1.01{col 60}{space 3}0.315{col 68}{space 4}-3.275869{col 81}{space 3}  10.1794
{txt}{space 22}100  {c |}{col 28}{res}{space 2}-1.979907{col 40}{space 2} 2.597423{col 51}{space 1}   -0.76{col 60}{space 3}0.446{col 68}{space 4}-7.070761{col 81}{space 3} 3.110948
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-1.988915{col 40}{space 2} 2.810067{col 51}{space 1}   -0.71{col 60}{space 3}0.479{col 68}{space 4}-7.496545{col 81}{space 3} 3.518715
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-1.232826{col 40}{space 2} 3.044578{col 51}{space 1}   -0.40{col 60}{space 3}0.686{col 68}{space 4}-7.200089{col 81}{space 3} 4.734438
{txt}{space 22}130  {c |}{col 28}{res}{space 2} 1.733032{col 40}{space 2} 3.242832{col 51}{space 1}    0.53{col 60}{space 3}0.593{col 68}{space 4}-4.622801{col 81}{space 3} 8.088865
{txt}{space 22}135  {c |}{col 28}{res}{space 2} 3.313117{col 40}{space 2}   3.0676{col 51}{space 1}    1.08{col 60}{space 3}0.280{col 68}{space 4}-2.699269{col 81}{space 3} 9.325502
{txt}{space 22}140  {c |}{col 28}{res}{space 2} 3.568317{col 40}{space 2} 2.565996{col 51}{space 1}    1.39{col 60}{space 3}0.164{col 68}{space 4}-1.460944{col 81}{space 3} 8.597578
{txt}{space 22}145  {c |}{col 28}{res}{space 2} 3.769752{col 40}{space 2} 3.345328{col 51}{space 1}    1.13{col 60}{space 3}0.260{col 68}{space 4}-2.786972{col 81}{space 3} 10.32647
{txt}{space 22}150  {c |}{col 28}{res}{space 2} 2.352063{col 40}{space 2}  3.26475{col 51}{space 1}    0.72{col 60}{space 3}0.471{col 68}{space 4}-4.046729{col 81}{space 3} 8.750855
{txt}{space 22}155  {c |}{col 28}{res}{space 2} 3.756577{col 40}{space 2} 2.811679{col 51}{space 1}    1.34{col 60}{space 3}0.182{col 68}{space 4}-1.754213{col 81}{space 3} 9.267366
{txt}{space 22}160  {c |}{col 28}{res}{space 2} 3.714134{col 40}{space 2} 2.911118{col 51}{space 1}    1.28{col 60}{space 3}0.202{col 68}{space 4}-1.991553{col 81}{space 3}  9.41982
{txt}{space 22}165  {c |}{col 28}{res}{space 2} 5.541344{col 40}{space 2} 3.086337{col 51}{space 1}    1.80{col 60}{space 3}0.073{col 68}{space 4}-.5077646{col 81}{space 3} 11.59045
{txt}{space 22}200  {c |}{col 28}{res}{space 2} 5.033393{col 40}{space 2} 2.022581{col 51}{space 1}    2.49{col 60}{space 3}0.013{col 68}{space 4} 1.069207{col 81}{space 3} 8.997579
{txt}{space 22}205  {c |}{col 28}{res}{space 2} 4.271565{col 40}{space 2} 1.874439{col 51}{space 1}    2.28{col 60}{space 3}0.023{col 68}{space 4} .5977327{col 81}{space 3} 7.945397
{txt}{space 22}210  {c |}{col 28}{res}{space 2} 4.836939{col 40}{space 2} 1.957537{col 51}{space 1}    2.47{col 60}{space 3}0.013{col 68}{space 4} 1.000237{col 81}{space 3}  8.67364
{txt}{space 22}211  {c |}{col 28}{res}{space 2} 3.970181{col 40}{space 2} 2.060071{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4} -.067485{col 81}{space 3} 8.007846
{txt}{space 22}220  {c |}{col 28}{res}{space 2} 5.145225{col 40}{space 2} 1.889837{col 51}{space 1}    2.72{col 60}{space 3}0.006{col 68}{space 4} 1.441212{col 81}{space 3} 8.849237
{txt}{space 22}225  {c |}{col 28}{res}{space 2}  .388596{col 40}{space 2} 1.836139{col 51}{space 1}    0.21{col 60}{space 3}0.832{col 68}{space 4} -3.21017{col 81}{space 3} 3.987362
{txt}{space 22}230  {c |}{col 28}{res}{space 2} 4.187273{col 40}{space 2} 2.127027{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4}  .018376{col 81}{space 3} 8.356169
{txt}{space 22}235  {c |}{col 28}{res}{space 2} 4.338888{col 40}{space 2} 2.430071{col 51}{space 1}    1.79{col 60}{space 3}0.074{col 68}{space 4}-.4239636{col 81}{space 3} 9.101739
{txt}{space 22}255  {c |}{col 28}{res}{space 2}  4.45524{col 40}{space 2} 1.839129{col 51}{space 1}    2.42{col 60}{space 3}0.015{col 68}{space 4} .8506131{col 81}{space 3} 8.059867
{txt}{space 22}290  {c |}{col 28}{res}{space 2} 3.523797{col 40}{space 2} 2.708138{col 51}{space 1}    1.30{col 60}{space 3}0.193{col 68}{space 4}-1.784056{col 81}{space 3} 8.831651
{txt}{space 22}305  {c |}{col 28}{res}{space 2} 3.106765{col 40}{space 2} 2.024067{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.8603331{col 81}{space 3} 7.073862
{txt}{space 22}310  {c |}{col 28}{res}{space 2} 1.416943{col 40}{space 2} 2.659367{col 51}{space 1}    0.53{col 60}{space 3}0.594{col 68}{space 4} -3.79532{col 81}{space 3} 6.629206
{txt}{space 22}316  {c |}{col 28}{res}{space 2} .8586361{col 40}{space 2} 2.371656{col 51}{space 1}    0.36{col 60}{space 3}0.717{col 68}{space 4}-3.789724{col 81}{space 3} 5.506996
{txt}{space 22}317  {c |}{col 28}{res}{space 2} 3.939332{col 40}{space 2} 2.706516{col 51}{space 1}    1.46{col 60}{space 3}0.146{col 68}{space 4}-1.365341{col 81}{space 3} 9.244006
{txt}{space 22}325  {c |}{col 28}{res}{space 2}  4.69976{col 40}{space 2} 1.846495{col 51}{space 1}    2.55{col 60}{space 3}0.011{col 68}{space 4} 1.080697{col 81}{space 3} 8.318823
{txt}{space 22}339  {c |}{col 28}{res}{space 2} 2.001655{col 40}{space 2} 3.291406{col 51}{space 1}    0.61{col 60}{space 3}0.543{col 68}{space 4}-4.449381{col 81}{space 3} 8.452691
{txt}{space 22}343  {c |}{col 28}{res}{space 2}-1.379868{col 40}{space 2} 3.159931{col 51}{space 1}   -0.44{col 60}{space 3}0.662{col 68}{space 4} -7.57322{col 81}{space 3} 4.813483
{txt}{space 22}344  {c |}{col 28}{res}{space 2} 3.009143{col 40}{space 2} 2.726105{col 51}{space 1}    1.10{col 60}{space 3}0.270{col 68}{space 4}-2.333925{col 81}{space 3}  8.35221
{txt}{space 22}345  {c |}{col 28}{res}{space 2} 2.882465{col 40}{space 2} 3.085759{col 51}{space 1}    0.93{col 60}{space 3}0.350{col 68}{space 4}-3.165511{col 81}{space 3} 8.930441
{txt}{space 22}349  {c |}{col 28}{res}{space 2} 1.766361{col 40}{space 2} 2.441524{col 51}{space 1}    0.72{col 60}{space 3}0.469{col 68}{space 4}-3.018937{col 81}{space 3}  6.55166
{txt}{space 22}350  {c |}{col 28}{res}{space 2} 3.286376{col 40}{space 2} 2.409368{col 51}{space 1}    1.36{col 60}{space 3}0.173{col 68}{space 4}-1.435899{col 81}{space 3}  8.00865
{txt}{space 22}352  {c |}{col 28}{res}{space 2}-1.487275{col 40}{space 2} 2.296303{col 51}{space 1}   -0.65{col 60}{space 3}0.517{col 68}{space 4}-5.987945{col 81}{space 3} 3.013396
{txt}{space 22}355  {c |}{col 28}{res}{space 2} 2.220791{col 40}{space 2} 2.904936{col 51}{space 1}    0.76{col 60}{space 3}0.445{col 68}{space 4}-3.472779{col 81}{space 3} 7.914362
{txt}{space 22}359  {c |}{col 28}{res}{space 2}-.6549127{col 40}{space 2} 3.455238{col 51}{space 1}   -0.19{col 60}{space 3}0.850{col 68}{space 4}-7.427055{col 81}{space 3} 6.117229
{txt}{space 22}360  {c |}{col 28}{res}{space 2} 1.176014{col 40}{space 2} 2.693913{col 51}{space 1}    0.44{col 60}{space 3}0.662{col 68}{space 4} -4.10396{col 81}{space 3} 6.455987
{txt}{space 22}365  {c |}{col 28}{res}{space 2} .1866815{col 40}{space 2} 1.594781{col 51}{space 1}    0.12{col 60}{space 3}0.907{col 68}{space 4}-2.939032{col 81}{space 3} 3.312395
{txt}{space 22}366  {c |}{col 28}{res}{space 2} 1.942157{col 40}{space 2} 2.745972{col 51}{space 1}    0.71{col 60}{space 3}0.479{col 68}{space 4}-3.439848{col 81}{space 3} 7.324162
{txt}{space 22}367  {c |}{col 28}{res}{space 2} 2.683259{col 40}{space 2} 2.638311{col 51}{space 1}    1.02{col 60}{space 3}0.309{col 68}{space 4}-2.487735{col 81}{space 3} 7.854253
{txt}{space 22}368  {c |}{col 28}{res}{space 2} 1.607221{col 40}{space 2} 2.439054{col 51}{space 1}    0.66{col 60}{space 3}0.510{col 68}{space 4}-3.173237{col 81}{space 3} 6.387678
{txt}{space 22}369  {c |}{col 28}{res}{space 2}  4.01345{col 40}{space 2} 2.928443{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-1.726192{col 81}{space 3} 9.753093
{txt}{space 22}370  {c |}{col 28}{res}{space 2} .3515637{col 40}{space 2} 3.123814{col 51}{space 1}    0.11{col 60}{space 3}0.910{col 68}{space 4}-5.770999{col 81}{space 3} 6.474126
{txt}{space 22}371  {c |}{col 28}{res}{space 2} 2.430375{col 40}{space 2} 3.307471{col 51}{space 1}    0.73{col 60}{space 3}0.462{col 68}{space 4}-4.052149{col 81}{space 3} 8.912898
{txt}{space 22}375  {c |}{col 28}{res}{space 2} 3.984753{col 40}{space 2} 2.148807{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4} -.226831{col 81}{space 3} 8.196336
{txt}{space 22}380  {c |}{col 28}{res}{space 2} 3.985868{col 40}{space 2} 1.986859{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0916971{col 81}{space 3}  7.88004
{txt}{space 22}385  {c |}{col 28}{res}{space 2} 3.269349{col 40}{space 2} 1.777834{col 51}{space 1}    1.84{col 60}{space 3}0.066{col 68}{space 4}-.2151411{col 81}{space 3} 6.753838
{txt}{space 22}390  {c |}{col 28}{res}{space 2} 3.419839{col 40}{space 2} 2.067549{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.6324832{col 81}{space 3} 7.472161
{txt}{space 22}404  {c |}{col 28}{res}{space 2} 5.643002{col 40}{space 2} 3.761118{col 51}{space 1}    1.50{col 60}{space 3}0.134{col 68}{space 4}-1.728655{col 81}{space 3} 13.01466
{txt}{space 22}420  {c |}{col 28}{res}{space 2} 3.598355{col 40}{space 2} 3.676705{col 51}{space 1}    0.98{col 60}{space 3}0.328{col 68}{space 4}-3.607854{col 81}{space 3} 10.80456
{txt}{space 22}432  {c |}{col 28}{res}{space 2} 3.933067{col 40}{space 2} 3.502871{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-2.932435{col 81}{space 3} 10.79857
{txt}{space 22}433  {c |}{col 28}{res}{space 2} 5.949818{col 40}{space 2} 3.454099{col 51}{space 1}    1.72{col 60}{space 3}0.085{col 68}{space 4} -.820092{col 81}{space 3} 12.71973
{txt}{space 22}434  {c |}{col 28}{res}{space 2} 5.137641{col 40}{space 2} 3.565301{col 51}{space 1}    1.44{col 60}{space 3}0.150{col 68}{space 4}-1.850221{col 81}{space 3}  12.1255
{txt}{space 22}435  {c |}{col 28}{res}{space 2} 4.802502{col 40}{space 2} 3.730054{col 51}{space 1}    1.29{col 60}{space 3}0.198{col 68}{space 4}-2.508269{col 81}{space 3} 12.11327
{txt}{space 22}436  {c |}{col 28}{res}{space 2} 5.724637{col 40}{space 2} 3.784662{col 51}{space 1}    1.51{col 60}{space 3}0.130{col 68}{space 4}-1.693163{col 81}{space 3} 13.14244
{txt}{space 22}437  {c |}{col 28}{res}{space 2} 3.714789{col 40}{space 2}  3.56926{col 51}{space 1}    1.04{col 60}{space 3}0.298{col 68}{space 4}-3.280833{col 81}{space 3} 10.71041
{txt}{space 22}438  {c |}{col 28}{res}{space 2}  4.91939{col 40}{space 2} 3.629817{col 51}{space 1}    1.36{col 60}{space 3}0.175{col 68}{space 4} -2.19492{col 81}{space 3}  12.0337
{txt}{space 22}439  {c |}{col 28}{res}{space 2} 6.062555{col 40}{space 2} 3.904062{col 51}{space 1}    1.55{col 60}{space 3}0.120{col 68}{space 4}-1.589265{col 81}{space 3} 13.71438
{txt}{space 22}450  {c |}{col 28}{res}{space 2} 3.890917{col 40}{space 2} 3.752888{col 51}{space 1}    1.04{col 60}{space 3}0.300{col 68}{space 4}-3.464608{col 81}{space 3} 11.24644
{txt}{space 22}451  {c |}{col 28}{res}{space 2} 4.137645{col 40}{space 2} 3.617178{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-2.951894{col 81}{space 3} 11.22718
{txt}{space 22}452  {c |}{col 28}{res}{space 2}  6.48153{col 40}{space 2} 3.502228{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4}-.3827106{col 81}{space 3} 13.34577
{txt}{space 22}461  {c |}{col 28}{res}{space 2} 5.015187{col 40}{space 2} 3.736954{col 51}{space 1}    1.34{col 60}{space 3}0.180{col 68}{space 4}-2.309108{col 81}{space 3} 12.33948
{txt}{space 22}471  {c |}{col 28}{res}{space 2} 3.823282{col 40}{space 2} 3.670629{col 51}{space 1}    1.04{col 60}{space 3}0.298{col 68}{space 4}-3.371019{col 81}{space 3} 11.01758
{txt}{space 22}475  {c |}{col 28}{res}{space 2} 6.872793{col 40}{space 2} 3.577362{col 51}{space 1}    1.92{col 60}{space 3}0.055{col 68}{space 4}-.1387078{col 81}{space 3} 13.88429
{txt}{space 22}481  {c |}{col 28}{res}{space 2} 3.815962{col 40}{space 2} 3.168848{col 51}{space 1}    1.20{col 60}{space 3}0.229{col 68}{space 4}-2.394866{col 81}{space 3} 10.02679
{txt}{space 22}483  {c |}{col 28}{res}{space 2} 5.115074{col 40}{space 2} 3.743567{col 51}{space 1}    1.37{col 60}{space 3}0.172{col 68}{space 4}-2.222182{col 81}{space 3} 12.45233
{txt}{space 22}484  {c |}{col 28}{res}{space 2} 3.472795{col 40}{space 2} 3.643091{col 51}{space 1}    0.95{col 60}{space 3}0.340{col 68}{space 4}-3.667533{col 81}{space 3} 10.61312
{txt}{space 22}490  {c |}{col 28}{res}{space 2} 4.293794{col 40}{space 2} 3.622026{col 51}{space 1}    1.19{col 60}{space 3}0.236{col 68}{space 4}-2.805247{col 81}{space 3} 11.39283
{txt}{space 22}500  {c |}{col 28}{res}{space 2} 4.311734{col 40}{space 2} 3.802175{col 51}{space 1}    1.13{col 60}{space 3}0.257{col 68}{space 4}-3.140393{col 81}{space 3} 11.76386
{txt}{space 22}501  {c |}{col 28}{res}{space 2} 5.554646{col 40}{space 2} 3.437988{col 51}{space 1}    1.62{col 60}{space 3}0.106{col 68}{space 4}-1.183686{col 81}{space 3} 12.29298
{txt}{space 22}510  {c |}{col 28}{res}{space 2} 5.601762{col 40}{space 2} 3.771421{col 51}{space 1}    1.49{col 60}{space 3}0.137{col 68}{space 4}-1.790087{col 81}{space 3} 12.99361
{txt}{space 22}516  {c |}{col 28}{res}{space 2} 4.666295{col 40}{space 2} 3.695142{col 51}{space 1}    1.26{col 60}{space 3}0.207{col 68}{space 4}-2.576049{col 81}{space 3} 11.90864
{txt}{space 22}517  {c |}{col 28}{res}{space 2} 8.656326{col 40}{space 2} 3.860774{col 51}{space 1}    2.24{col 60}{space 3}0.025{col 68}{space 4} 1.089348{col 81}{space 3}  16.2233
{txt}{space 22}522  {c |}{col 28}{res}{space 2}  .332997{col 40}{space 2} 3.230434{col 51}{space 1}    0.10{col 60}{space 3}0.918{col 68}{space 4}-5.998537{col 81}{space 3} 6.664531
{txt}{space 22}530  {c |}{col 28}{res}{space 2} 9.210099{col 40}{space 2} 3.794413{col 51}{space 1}    2.43{col 60}{space 3}0.015{col 68}{space 4} 1.773185{col 81}{space 3} 16.64701
{txt}{space 22}541  {c |}{col 28}{res}{space 2} 4.375659{col 40}{space 2} 3.461739{col 51}{space 1}    1.26{col 60}{space 3}0.206{col 68}{space 4}-2.409223{col 81}{space 3} 11.16054
{txt}{space 22}551  {c |}{col 28}{res}{space 2} 5.075585{col 40}{space 2}  3.57185{col 51}{space 1}    1.42{col 60}{space 3}0.155{col 68}{space 4}-1.925113{col 81}{space 3} 12.07628
{txt}{space 22}552  {c |}{col 28}{res}{space 2} 2.655459{col 40}{space 2}  3.23558{col 51}{space 1}    0.82{col 60}{space 3}0.412{col 68}{space 4}-3.686162{col 81}{space 3}  8.99708
{txt}{space 22}553  {c |}{col 28}{res}{space 2} 3.881135{col 40}{space 2} 3.637825{col 51}{space 1}    1.07{col 60}{space 3}0.286{col 68}{space 4}-3.248871{col 81}{space 3} 11.01114
{txt}{space 22}560  {c |}{col 28}{res}{space 2} 6.067445{col 40}{space 2} 3.102185{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4}-.0127257{col 81}{space 3} 12.14762
{txt}{space 22}565  {c |}{col 28}{res}{space 2} 3.936153{col 40}{space 2} 3.215183{col 51}{space 1}    1.22{col 60}{space 3}0.221{col 68}{space 4}-2.365489{col 81}{space 3}  10.2378
{txt}{space 22}570  {c |}{col 28}{res}{space 2}-.8603438{col 40}{space 2} 3.588972{col 51}{space 1}   -0.24{col 60}{space 3}0.811{col 68}{space 4}  -7.8946{col 81}{space 3} 6.173912
{txt}{space 22}571  {c |}{col 28}{res}{space 2} 1.234121{col 40}{space 2}  2.80371{col 51}{space 1}    0.44{col 60}{space 3}0.660{col 68}{space 4}-4.261049{col 81}{space 3} 6.729292
{txt}{space 22}580  {c |}{col 28}{res}{space 2}-.7993167{col 40}{space 2} 3.758428{col 51}{space 1}   -0.21{col 60}{space 3}0.832{col 68}{space 4}-8.165701{col 81}{space 3} 6.567067
{txt}{space 22}600  {c |}{col 28}{res}{space 2}   4.4916{col 40}{space 2} 3.379298{col 51}{space 1}    1.33{col 60}{space 3}0.184{col 68}{space 4}-2.131703{col 81}{space 3}  11.1149
{txt}{space 22}615  {c |}{col 28}{res}{space 2}-1.073796{col 40}{space 2} 2.810817{col 51}{space 1}   -0.38{col 60}{space 3}0.702{col 68}{space 4}-6.582896{col 81}{space 3} 4.435304
{txt}{space 22}616  {c |}{col 28}{res}{space 2} 3.409555{col 40}{space 2} 3.251429{col 51}{space 1}    1.05{col 60}{space 3}0.294{col 68}{space 4}-2.963129{col 81}{space 3} 9.782239
{txt}{space 22}630  {c |}{col 28}{res}{space 2}-.3553038{col 40}{space 2} 2.912406{col 51}{space 1}   -0.12{col 60}{space 3}0.903{col 68}{space 4}-6.063514{col 81}{space 3} 5.352906
{txt}{space 22}640  {c |}{col 28}{res}{space 2}  3.68913{col 40}{space 2}  2.34152{col 51}{space 1}    1.58{col 60}{space 3}0.115{col 68}{space 4}-.9001652{col 81}{space 3} 8.278425
{txt}{space 22}651  {c |}{col 28}{res}{space 2} 5.259922{col 40}{space 2} 2.946012{col 51}{space 1}    1.79{col 60}{space 3}0.074{col 68}{space 4}-.5141563{col 81}{space 3}   11.034
{txt}{space 22}663  {c |}{col 28}{res}{space 2} 5.385577{col 40}{space 2} 3.379449{col 51}{space 1}    1.59{col 60}{space 3}0.111{col 68}{space 4}-1.238021{col 81}{space 3} 12.00917
{txt}{space 22}670  {c |}{col 28}{res}{space 2}-.0161956{col 40}{space 2} 2.532264{col 51}{space 1}   -0.01{col 60}{space 3}0.995{col 68}{space 4}-4.979342{col 81}{space 3}  4.94695
{txt}{space 22}679  {c |}{col 28}{res}{space 2} 2.082425{col 40}{space 2} 3.538042{col 51}{space 1}    0.59{col 60}{space 3}0.556{col 68}{space 4} -4.85201{col 81}{space 3}  9.01686
{txt}{space 22}690  {c |}{col 28}{res}{space 2}-1.176442{col 40}{space 2} 2.338958{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4}-5.760716{col 81}{space 3} 3.407832
{txt}{space 22}694  {c |}{col 28}{res}{space 2} 3.003608{col 40}{space 2} 3.292655{col 51}{space 1}    0.91{col 60}{space 3}0.362{col 68}{space 4}-3.449877{col 81}{space 3} 9.457094
{txt}{space 22}696  {c |}{col 28}{res}{space 2} .5492375{col 40}{space 2} 3.322872{col 51}{space 1}    0.17{col 60}{space 3}0.869{col 68}{space 4}-5.963472{col 81}{space 3} 7.061947
{txt}{space 22}702  {c |}{col 28}{res}{space 2}-1.580261{col 40}{space 2} 3.762154{col 51}{space 1}   -0.42{col 60}{space 3}0.674{col 68}{space 4}-8.953947{col 81}{space 3} 5.793424
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-.6585831{col 40}{space 2} 3.565177{col 51}{space 1}   -0.18{col 60}{space 3}0.853{col 68}{space 4}-7.646201{col 81}{space 3} 6.329035
{txt}{space 22}705  {c |}{col 28}{res}{space 2} 5.542361{col 40}{space 2} 2.909855{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.1608505{col 81}{space 3} 11.24557
{txt}{space 22}710  {c |}{col 28}{res}{space 2} -1.26164{col 40}{space 2} 2.503937{col 51}{space 1}   -0.50{col 60}{space 3}0.614{col 68}{space 4}-6.169266{col 81}{space 3} 3.645986
{txt}{space 22}712  {c |}{col 28}{res}{space 2} 4.964488{col 40}{space 2} 3.336061{col 51}{space 1}    1.49{col 60}{space 3}0.137{col 68}{space 4}-1.574072{col 81}{space 3} 11.50305
{txt}{space 22}732  {c |}{col 28}{res}{space 2} 2.700627{col 40}{space 2} 1.816815{col 51}{space 1}    1.49{col 60}{space 3}0.137{col 68}{space 4}-.8602648{col 81}{space 3} 6.261519
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 3.701198{col 40}{space 2} 2.002888{col 51}{space 1}    1.85{col 60}{space 3}0.065{col 68}{space 4}-.2243913{col 81}{space 3} 7.626786
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 6.645211{col 40}{space 2} 2.370274{col 51}{space 1}    2.80{col 60}{space 3}0.005{col 68}{space 4}  1.99956{col 81}{space 3} 11.29086
{txt}{space 22}760  {c |}{col 28}{res}{space 2} 1.628227{col 40}{space 2} 3.425313{col 51}{space 1}    0.48{col 60}{space 3}0.635{col 68}{space 4}-5.085263{col 81}{space 3} 8.341717
{txt}{space 22}770  {c |}{col 28}{res}{space 2}  8.50589{col 40}{space 2} 3.103718{col 51}{space 1}    2.74{col 60}{space 3}0.006{col 68}{space 4} 2.422714{col 81}{space 3} 14.58907
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 8.987076{col 40}{space 2} 3.690596{col 51}{space 1}    2.44{col 60}{space 3}0.015{col 68}{space 4}  1.75364{col 81}{space 3} 16.22051
{txt}{space 22}775  {c |}{col 28}{res}{space 2} .4387263{col 40}{space 2} 3.071267{col 51}{space 1}    0.14{col 60}{space 3}0.886{col 68}{space 4}-5.580846{col 81}{space 3} 6.458299
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 4.963157{col 40}{space 2} 3.093705{col 51}{space 1}    1.60{col 60}{space 3}0.109{col 68}{space 4}-1.100393{col 81}{space 3} 11.02671
{txt}{space 22}790  {c |}{col 28}{res}{space 2} 7.476797{col 40}{space 2}  3.68057{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4}  .263012{col 81}{space 3} 14.69058
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 4.975811{col 40}{space 2} 2.805552{col 51}{space 1}    1.77{col 60}{space 3}0.076{col 68}{space 4}-.5229704{col 81}{space 3} 10.47459
{txt}{space 22}811  {c |}{col 28}{res}{space 2} 4.112787{col 40}{space 2} 3.511842{col 51}{space 1}    1.17{col 60}{space 3}0.242{col 68}{space 4}-2.770297{col 81}{space 3} 10.99587
{txt}{space 22}816  {c |}{col 28}{res}{space 2} 2.511118{col 40}{space 2} 3.393716{col 51}{space 1}    0.74{col 60}{space 3}0.459{col 68}{space 4}-4.140444{col 81}{space 3} 9.162679
{txt}{space 22}820  {c |}{col 28}{res}{space 2} 3.750046{col 40}{space 2} 2.768393{col 51}{space 1}    1.35{col 60}{space 3}0.176{col 68}{space 4}-1.675904{col 81}{space 3} 9.175995
{txt}{space 22}830  {c |}{col 28}{res}{space 2} 2.207384{col 40}{space 2} 2.048356{col 51}{space 1}    1.08{col 60}{space 3}0.281{col 68}{space 4} -1.80732{col 81}{space 3} 6.222088
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 5.887759{col 40}{space 2} 2.912283{col 51}{space 1}    2.02{col 60}{space 3}0.043{col 68}{space 4} .1797894{col 81}{space 3} 11.59573
{txt}{space 22}850  {c |}{col 28}{res}{space 2} 4.527798{col 40}{space 2} 2.860162{col 51}{space 1}    1.58{col 60}{space 3}0.113{col 68}{space 4}-1.078016{col 81}{space 3} 10.13361
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 4.830617{col 40}{space 2}    2.026{col 51}{space 1}    2.38{col 60}{space 3}0.017{col 68}{space 4} .8597297{col 81}{space 3} 8.801505
{txt}{space 22}920  {c |}{col 28}{res}{space 2}  3.75188{col 40}{space 2} 2.303959{col 51}{space 1}    1.63{col 60}{space 3}0.103{col 68}{space 4}-.7637965{col 81}{space 3} 8.267556
{txt}{space 22}950  {c |}{col 28}{res}{space 2}  3.94552{col 40}{space 2} 3.349415{col 51}{space 1}    1.18{col 60}{space 3}0.239{col 68}{space 4}-2.619213{col 81}{space 3} 10.51025
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 4.782171{col 40}{space 2} 3.494093{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-2.066125{col 81}{space 3} 11.63047
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 2.375715{col 40}{space 2} .0451562{col 68}{space 4}  2.28721{col 81}{space 3} 2.464219
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  10.7587{col 40}{space 2} .4858223{col 68}{space 4} 9.847427{col 81}{space 3}  11.7543
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 10
. nbreg troop_inc L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.troop_inc authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2067787.1}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1344456.1}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-838180.22}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-538331.18}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-388383.49}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-352293.31}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-350976.89}  
Iteration 7:{space 2}Log pseudolikelihood = {res: -350972.1}  
Iteration 8:{space 2}Log pseudolikelihood = {res: -350972.1}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -15468.58}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7979.2995}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-7848.2878}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-7831.5562}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-7831.5253}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-7831.5253}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7738.1143}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7601.0062}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-7566.2951}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-7541.4472}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-7540.9802}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-7540.9749}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-7540.9749}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-7540.9749}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0371}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                              troop_inc{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .9738481{col 53}{space 2}  1.11572{col 64}{space 1}    0.87{col 73}{space 3}0.383{col 81}{space 4}-1.212923{col 94}{space 3} 3.160619
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0118413{col 53}{space 2} .0632496{col 64}{space 1}   -0.19{col 73}{space 3}0.851{col 81}{space 4}-.1358082{col 94}{space 3} .1121256
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0444295{col 53}{space 2} .0663561{col 64}{space 1}   -0.67{col 73}{space 3}0.503{col 81}{space 4} -.174485{col 94}{space 3}  .085626
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .8146143{col 53}{space 2} 1.247473{col 64}{space 1}    0.65{col 73}{space 3}0.514{col 81}{space 4}-1.630387{col 94}{space 3} 3.259616
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0420593{col 53}{space 2} .0703588{col 64}{space 1}   -0.60{col 73}{space 3}0.550{col 81}{space 4}  -.17996{col 94}{space 3} .0958414
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3155566{col 53}{space 2} .3413928{col 64}{space 1}   -0.92{col 73}{space 3}0.355{col 81}{space 4}-.9846742{col 94}{space 3}  .353561
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0391821{col 53}{space 2} 4.616075{col 64}{space 1}   -0.01{col 73}{space 3}0.993{col 81}{space 4}-9.086522{col 94}{space 3} 9.008158
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.6620617{col 53}{space 2} .3172823{col 64}{space 1}   -2.09{col 73}{space 3}0.037{col 81}{space 4}-1.283924{col 94}{space 3}-.0401998
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-143.8411{col 53}{space 2}  58.2526{col 64}{space 1}   -2.47{col 73}{space 3}0.014{col 81}{space 4}-258.0142{col 94}{space 3}-29.66815
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .2033265{col 53}{space 2} .1096397{col 64}{space 1}    1.85{col 73}{space 3}0.064{col 81}{space 4}-.0115634{col 94}{space 3} .4182164
{txt}{space 39} {c |}
{space 30}troops_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.5102279{col 53}{space 2} .1561905{col 64}{space 1}   -3.27{col 73}{space 3}0.001{col 81}{space 4}-.8163556{col 94}{space 3}-.2041002
{txt}{space 39} {c |}
{space 30}troop_inc {c |}
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{txt}{space 39} {c |}
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{txt}{space 35}616  {c |}{col 41}{res}{space 2} 3.503239{col 53}{space 2}  3.21618{col 64}{space 1}    1.09{col 73}{space 3}0.276{col 81}{space 4}-2.800358{col 94}{space 3} 9.806836
{txt}{space 35}630  {c |}{col 41}{res}{space 2}-.1580272{col 53}{space 2} 2.850235{col 64}{space 1}   -0.06{col 73}{space 3}0.956{col 81}{space 4}-5.744386{col 94}{space 3} 5.428332
{txt}{space 35}640  {c |}{col 41}{res}{space 2} 3.712827{col 53}{space 2} 2.311124{col 64}{space 1}    1.61{col 73}{space 3}0.108{col 81}{space 4}-.8168928{col 94}{space 3} 8.242547
{txt}{space 35}651  {c |}{col 41}{res}{space 2} 5.334474{col 53}{space 2} 2.857994{col 64}{space 1}    1.87{col 73}{space 3}0.062{col 81}{space 4}-.2670919{col 94}{space 3} 10.93604
{txt}{space 35}663  {c |}{col 41}{res}{space 2} 5.363958{col 53}{space 2} 3.332474{col 64}{space 1}    1.61{col 73}{space 3}0.107{col 81}{space 4}-1.167571{col 94}{space 3} 11.89549
{txt}{space 35}670  {c |}{col 41}{res}{space 2} .1240024{col 53}{space 2} 2.504771{col 64}{space 1}    0.05{col 73}{space 3}0.961{col 81}{space 4}-4.785258{col 94}{space 3} 5.033263
{txt}{space 35}679  {c |}{col 41}{res}{space 2} 2.151293{col 53}{space 2} 3.480218{col 64}{space 1}    0.62{col 73}{space 3}0.536{col 81}{space 4}-4.669809{col 94}{space 3} 8.972396
{txt}{space 35}690  {c |}{col 41}{res}{space 2}-1.557688{col 53}{space 2} 2.378466{col 64}{space 1}   -0.65{col 73}{space 3}0.513{col 81}{space 4}-6.219396{col 94}{space 3}  3.10402
{txt}{space 35}694  {c |}{col 41}{res}{space 2} 2.877801{col 53}{space 2} 3.200275{col 64}{space 1}    0.90{col 73}{space 3}0.369{col 81}{space 4}-3.394622{col 94}{space 3} 9.150224
{txt}{space 35}696  {c |}{col 41}{res}{space 2} .4153681{col 53}{space 2} 3.231814{col 64}{space 1}    0.13{col 73}{space 3}0.898{col 81}{space 4}-5.918871{col 94}{space 3} 6.749608
{txt}{space 35}702  {c |}{col 41}{res}{space 2}-1.454056{col 53}{space 2} 3.706365{col 64}{space 1}   -0.39{col 73}{space 3}0.695{col 81}{space 4}-8.718397{col 94}{space 3} 5.810285
{txt}{space 35}703  {c |}{col 41}{res}{space 2}-.6405411{col 53}{space 2} 3.527876{col 64}{space 1}   -0.18{col 73}{space 3}0.856{col 81}{space 4}-7.555052{col 94}{space 3}  6.27397
{txt}{space 35}705  {c |}{col 41}{res}{space 2} 5.645357{col 53}{space 2} 2.875099{col 64}{space 1}    1.96{col 73}{space 3}0.050{col 81}{space 4} .0102669{col 94}{space 3} 11.28045
{txt}{space 35}710  {c |}{col 41}{res}{space 2}-.9488534{col 53}{space 2} 2.477878{col 64}{space 1}   -0.38{col 73}{space 3}0.702{col 81}{space 4}-5.805405{col 94}{space 3} 3.907698
{txt}{space 35}712  {c |}{col 41}{res}{space 2}  4.96137{col 53}{space 2} 3.319258{col 64}{space 1}    1.49{col 73}{space 3}0.135{col 81}{space 4}-1.544256{col 94}{space 3}   11.467
{txt}{space 35}732  {c |}{col 41}{res}{space 2} 2.681362{col 53}{space 2} 1.816392{col 64}{space 1}    1.48{col 73}{space 3}0.140{col 81}{space 4}-.8787006{col 94}{space 3} 6.241425
{txt}{space 35}740  {c |}{col 41}{res}{space 2} 3.761704{col 53}{space 2} 2.035286{col 64}{space 1}    1.85{col 73}{space 3}0.065{col 81}{space 4}-.2273821{col 94}{space 3} 7.750791
{txt}{space 35}750  {c |}{col 41}{res}{space 2} 6.862687{col 53}{space 2} 2.356479{col 64}{space 1}    2.91{col 73}{space 3}0.004{col 81}{space 4} 2.244074{col 94}{space 3}  11.4813
{txt}{space 35}760  {c |}{col 41}{res}{space 2} 1.611707{col 53}{space 2} 3.395554{col 64}{space 1}    0.47{col 73}{space 3}0.635{col 81}{space 4}-5.043457{col 94}{space 3} 8.266872
{txt}{space 35}770  {c |}{col 41}{res}{space 2} 8.603561{col 53}{space 2} 3.060142{col 64}{space 1}    2.81{col 73}{space 3}0.005{col 81}{space 4} 2.605794{col 94}{space 3} 14.60133
{txt}{space 35}771  {c |}{col 41}{res}{space 2} 8.986528{col 53}{space 2} 3.658037{col 64}{space 1}    2.46{col 73}{space 3}0.014{col 81}{space 4} 1.816908{col 94}{space 3} 16.15615
{txt}{space 35}775  {c |}{col 41}{res}{space 2} .6027876{col 53}{space 2} 3.003684{col 64}{space 1}    0.20{col 73}{space 3}0.841{col 81}{space 4}-5.284326{col 94}{space 3} 6.489901
{txt}{space 35}780  {c |}{col 41}{res}{space 2}  4.99692{col 53}{space 2} 3.058509{col 64}{space 1}    1.63{col 73}{space 3}0.102{col 81}{space 4}-.9976473{col 94}{space 3} 10.99149
{txt}{space 35}790  {c |}{col 41}{res}{space 2} 7.315637{col 53}{space 2} 3.651389{col 64}{space 1}    2.00{col 73}{space 3}0.045{col 81}{space 4}  .159046{col 94}{space 3} 14.47223
{txt}{space 35}800  {c |}{col 41}{res}{space 2} 4.870066{col 53}{space 2} 2.793945{col 64}{space 1}    1.74{col 73}{space 3}0.081{col 81}{space 4}-.6059663{col 94}{space 3}  10.3461
{txt}{space 35}811  {c |}{col 41}{res}{space 2} 4.191878{col 53}{space 2} 3.462073{col 64}{space 1}    1.21{col 73}{space 3}0.226{col 81}{space 4} -2.59366{col 94}{space 3} 10.97742
{txt}{space 35}816  {c |}{col 41}{res}{space 2} 2.709825{col 53}{space 2} 3.317649{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4}-3.792648{col 94}{space 3} 9.212298
{txt}{space 35}820  {c |}{col 41}{res}{space 2} 3.756528{col 53}{space 2}  2.75604{col 64}{space 1}    1.36{col 73}{space 3}0.173{col 81}{space 4}-1.645211{col 94}{space 3} 9.158266
{txt}{space 35}830  {c |}{col 41}{res}{space 2}  2.22078{col 53}{space 2} 2.060658{col 64}{space 1}    1.08{col 73}{space 3}0.281{col 81}{space 4}-1.818035{col 94}{space 3} 6.259594
{txt}{space 35}840  {c |}{col 41}{res}{space 2} 5.908732{col 53}{space 2} 2.878623{col 64}{space 1}    2.05{col 73}{space 3}0.040{col 81}{space 4} .2667349{col 94}{space 3} 11.55073
{txt}{space 35}850  {c |}{col 41}{res}{space 2} 4.581941{col 53}{space 2} 2.812513{col 64}{space 1}    1.63{col 73}{space 3}0.103{col 81}{space 4}-.9304833{col 94}{space 3} 10.09437
{txt}{space 35}900  {c |}{col 41}{res}{space 2}  4.71509{col 53}{space 2} 2.071318{col 64}{space 1}    2.28{col 73}{space 3}0.023{col 81}{space 4} .6553817{col 94}{space 3} 8.774799
{txt}{space 35}920  {c |}{col 41}{res}{space 2} 3.728233{col 53}{space 2} 2.320575{col 64}{space 1}    1.61{col 73}{space 3}0.108{col 81}{space 4}-.8200103{col 94}{space 3} 8.276476
{txt}{space 35}950  {c |}{col 41}{res}{space 2} 4.007374{col 53}{space 2} 3.329295{col 64}{space 1}    1.20{col 73}{space 3}0.229{col 81}{space 4}-2.517924{col 94}{space 3} 10.53267
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 4.621367{col 53}{space 2} 3.435493{col 64}{space 1}    1.35{col 73}{space 3}0.179{col 81}{space 4}-2.112074{col 94}{space 3} 11.35481
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 2.375059{col 53}{space 2} .0453151{col 81}{space 4} 2.286243{col 94}{space 3} 2.463875
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 10.75165{col 53}{space 2} .4872117{col 81}{space 4}  9.83791{col 94}{space 3} 11.75026
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[troop_inc]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [troop_inc]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [troop_inc]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    1.74
{txt}{col 10}Prob > chi2 =  {res}  0.6286
{txt}
{com}. 
. 
. **Troop decreases**
. *Model 11
. nbreg troop_dec L.solsch_2yrs L.otherldrtrns_2yrs L.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.troop_dec authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3169928.3}  
Iteration 1:{space 2}Log pseudolikelihood = {res:  -2572993}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-2044917.2}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-1266907.4}  (backed up)
Iteration 4:{space 2}Log pseudolikelihood = {res:-1241510.7}  (backed up)
Iteration 5:{space 2}Log pseudolikelihood = {res:-981733.35}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-617398.77}  
Iteration 7:{space 2}Log pseudolikelihood = {res: -259885.3}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-237558.99}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-234818.09}  
Iteration 10:{space 1}Log pseudolikelihood = {res:-234757.52}  
Iteration 11:{space 1}Log pseudolikelihood = {res: -234757.5}  
Iteration 12:{space 1}Log pseudolikelihood = {res: -234757.5}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14678.849}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-6976.0265}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6883.7336}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6875.1431}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6875.1158}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6875.1158}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-6805.1182}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res:-6655.0445}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6601.3618}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6568.6798}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6567.0527}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6567.0295}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-6567.0295}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(24)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-6567.0295}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0448}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                 troop_dec{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .3169318{col 40}{space 2} .3080064{col 51}{space 1}    1.03{col 60}{space 3}0.303{col 68}{space 4}-.2867497{col 81}{space 3} .9206132
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.5779342{col 40}{space 2} .3430305{col 51}{space 1}   -1.68{col 60}{space 3}0.092{col 68}{space 4}-1.250262{col 81}{space 3} .0943933
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0535047{col 40}{space 2} .0637853{col 51}{space 1}   -0.84{col 60}{space 3}0.402{col 68}{space 4}-.1785216{col 81}{space 3} .0715122
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.4741124{col 40}{space 2}  .686635{col 51}{space 1}   -0.69{col 60}{space 3}0.490{col 68}{space 4}-1.819892{col 81}{space 3} .8716674
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} 4.843687{col 40}{space 2} 3.947367{col 51}{space 1}    1.23{col 60}{space 3}0.220{col 68}{space 4} -2.89301{col 81}{space 3} 12.58038
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.2064493{col 40}{space 2} .6407101{col 51}{space 1}   -0.32{col 60}{space 3}0.747{col 68}{space 4}-1.462218{col 81}{space 3} 1.049319
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} 27.78088{col 40}{space 2}  96.5401{col 51}{space 1}    0.29{col 60}{space 3}0.774{col 68}{space 4}-161.4343{col 81}{space 3}  216.996
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.6218673{col 40}{space 2} .1703876{col 51}{space 1}   -3.65{col 60}{space 3}0.000{col 68}{space 4}-.9558208{col 81}{space 3}-.2879138
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} 1.559822{col 40}{space 2} .4057177{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} .7646303{col 81}{space 3} 2.355014
{txt}{space 26} {c |}
{space 17}troop_dec {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0010773{col 40}{space 2} .0004288{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .0002369{col 81}{space 3} .0019177
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0092613{col 40}{space 2} .0113128{col 51}{space 1}    0.82{col 60}{space 3}0.413{col 68}{space 4}-.0129115{col 81}{space 3}  .031434
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0248868{col 40}{space 2} .0112349{col 51}{space 1}    2.22{col 60}{space 3}0.027{col 68}{space 4} .0028669{col 81}{space 3} .0469068
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2} 1.098747{col 40}{space 2} .2958484{col 51}{space 1}    3.71{col 60}{space 3}0.000{col 68}{space 4} .5188944{col 81}{space 3} 1.678599
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2}-.0917354{col 40}{space 2} .0193456{col 51}{space 1}   -4.74{col 60}{space 3}0.000{col 68}{space 4}-.1296522{col 81}{space 3}-.0538186
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0019824{col 40}{space 2} .0003719{col 51}{space 1}    5.33{col 60}{space 3}0.000{col 68}{space 4} .0012534{col 81}{space 3} .0027113
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} -7.04434{col 40}{space 2} 2.582212{col 51}{space 1}   -2.73{col 60}{space 3}0.006{col 68}{space 4}-12.10538{col 81}{space 3}-1.983298
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-9.448925{col 40}{space 2} 3.111305{col 51}{space 1}   -3.04{col 60}{space 3}0.002{col 68}{space 4}-15.54697{col 81}{space 3}-3.350878
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-10.09388{col 40}{space 2} 3.280939{col 51}{space 1}   -3.08{col 60}{space 3}0.002{col 68}{space 4} -16.5244{col 81}{space 3}-3.663356
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-11.07908{col 40}{space 2} 3.083377{col 51}{space 1}   -3.59{col 60}{space 3}0.000{col 68}{space 4}-17.12239{col 81}{space 3}-5.035776
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-8.075689{col 40}{space 2} 2.620454{col 51}{space 1}   -3.08{col 60}{space 3}0.002{col 68}{space 4}-13.21169{col 81}{space 3}-2.939693
{txt}{space 23}90  {c |}{col 28}{res}{space 2}-6.826551{col 40}{space 2} 3.238909{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4} -13.1747{col 81}{space 3}-.4784051
{txt}{space 23}91  {c |}{col 28}{res}{space 2}-8.936601{col 40}{space 2} 3.340624{col 51}{space 1}   -2.68{col 60}{space 3}0.007{col 68}{space 4} -15.4841{col 81}{space 3}-2.389099
{txt}{space 23}92  {c |}{col 28}{res}{space 2}-7.130088{col 40}{space 2}  3.37331{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4}-13.74165{col 81}{space 3}-.5185225
{txt}{space 22}100  {c |}{col 28}{res}{space 2}-9.240784{col 40}{space 2} 3.143314{col 51}{space 1}   -2.94{col 60}{space 3}0.003{col 68}{space 4}-15.40157{col 81}{space 3}-3.080002
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-9.106893{col 40}{space 2} 3.075637{col 51}{space 1}   -2.96{col 60}{space 3}0.003{col 68}{space 4}-15.13503{col 81}{space 3}-3.078756
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-10.53519{col 40}{space 2} 3.306069{col 51}{space 1}   -3.19{col 60}{space 3}0.001{col 68}{space 4}-17.01497{col 81}{space 3}-4.055415
{txt}{space 22}130  {c |}{col 28}{res}{space 2}-7.457299{col 40}{space 2} 3.205506{col 51}{space 1}   -2.33{col 60}{space 3}0.020{col 68}{space 4}-13.73998{col 81}{space 3}-1.174622
{txt}{space 22}135  {c |}{col 28}{res}{space 2}-6.423799{col 40}{space 2} 3.022409{col 51}{space 1}   -2.13{col 60}{space 3}0.034{col 68}{space 4}-12.34761{col 81}{space 3}-.4999865
{txt}{space 22}140  {c |}{col 28}{res}{space 2}-2.761245{col 40}{space 2} 2.213759{col 51}{space 1}   -1.25{col 60}{space 3}0.212{col 68}{space 4}-7.100133{col 81}{space 3} 1.577643
{txt}{space 22}145  {c |}{col 28}{res}{space 2}-5.351834{col 40}{space 2} 3.299754{col 51}{space 1}   -1.62{col 60}{space 3}0.105{col 68}{space 4}-11.81923{col 81}{space 3} 1.115565
{txt}{space 22}150  {c |}{col 28}{res}{space 2}-6.909564{col 40}{space 2}  3.18067{col 51}{space 1}   -2.17{col 60}{space 3}0.030{col 68}{space 4}-13.14356{col 81}{space 3} -.675565
{txt}{space 22}155  {c |}{col 28}{res}{space 2} -6.07926{col 40}{space 2} 2.869845{col 51}{space 1}   -2.12{col 60}{space 3}0.034{col 68}{space 4}-11.70405{col 81}{space 3}-.4544667
{txt}{space 22}160  {c |}{col 28}{res}{space 2}-6.382022{col 40}{space 2} 2.916818{col 51}{space 1}   -2.19{col 60}{space 3}0.029{col 68}{space 4}-12.09888{col 81}{space 3}-.6651652
{txt}{space 22}165  {c |}{col 28}{res}{space 2}-7.308831{col 40}{space 2} 3.093568{col 51}{space 1}   -2.36{col 60}{space 3}0.018{col 68}{space 4}-13.37211{col 81}{space 3}-1.245549
{txt}{space 22}200  {c |}{col 28}{res}{space 2}-7.348591{col 40}{space 2} 2.439311{col 51}{space 1}   -3.01{col 60}{space 3}0.003{col 68}{space 4}-12.12955{col 81}{space 3}-2.567629
{txt}{space 22}205  {c |}{col 28}{res}{space 2}-7.709321{col 40}{space 2} 2.681715{col 51}{space 1}   -2.87{col 60}{space 3}0.004{col 68}{space 4}-12.96539{col 81}{space 3}-2.453257
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{txt}{space 22}816  {c |}{col 28}{res}{space 2} -35.4153{col 40}{space 2} 3.029956{col 51}{space 1}  -11.69{col 60}{space 3}0.000{col 68}{space 4} -41.3539{col 81}{space 3}-29.47669
{txt}{space 22}820  {c |}{col 28}{res}{space 2}-8.397865{col 40}{space 2} 2.902109{col 51}{space 1}   -2.89{col 60}{space 3}0.004{col 68}{space 4}-14.08589{col 81}{space 3}-2.709837
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-9.641742{col 40}{space 2}  2.55411{col 51}{space 1}   -3.77{col 60}{space 3}0.000{col 68}{space 4}-14.64771{col 81}{space 3}-4.635777
{txt}{space 22}840  {c |}{col 28}{res}{space 2}-4.670685{col 40}{space 2} 3.373107{col 51}{space 1}   -1.38{col 60}{space 3}0.166{col 68}{space 4}-11.28185{col 81}{space 3} 1.940483
{txt}{space 22}850  {c |}{col 28}{res}{space 2}-4.276734{col 40}{space 2} 2.498879{col 51}{space 1}   -1.71{col 60}{space 3}0.087{col 68}{space 4}-9.174447{col 81}{space 3} .6209793
{txt}{space 22}900  {c |}{col 28}{res}{space 2}-7.733458{col 40}{space 2} 2.645824{col 51}{space 1}   -2.92{col 60}{space 3}0.003{col 68}{space 4}-12.91918{col 81}{space 3}-2.547739
{txt}{space 22}920  {c |}{col 28}{res}{space 2}  -7.8601{col 40}{space 2} 2.840462{col 51}{space 1}   -2.77{col 60}{space 3}0.006{col 68}{space 4} -13.4273{col 81}{space 3}-2.292898
{txt}{space 22}950  {c |}{col 28}{res}{space 2}-6.689679{col 40}{space 2} 3.351855{col 51}{space 1}   -2.00{col 60}{space 3}0.046{col 68}{space 4}-13.25919{col 81}{space 3}-.1201641
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 6.568276{col 40}{space 2} 3.450816{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.1951993{col 81}{space 3} 13.33175
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 2.484075{col 40}{space 2} .0473752{col 68}{space 4} 2.391222{col 81}{space 3} 2.576929
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 11.99003{col 40}{space 2} .5680301{col 68}{space 4} 10.92683{col 81}{space 3} 13.15667
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 12
. nbreg troop_dec L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.troop_dec authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3169258.5}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2572201.4}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-2052779.2}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-1268244.4}  (backed up)
Iteration 4:{space 2}Log pseudolikelihood = {res:-1000662.4}  (backed up)
Iteration 5:{space 2}Log pseudolikelihood = {res:-593319.51}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-384368.18}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-241735.42}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-234607.67}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-234234.53}  
Iteration 10:{space 1}Log pseudolikelihood = {res:-234233.07}  
Iteration 11:{space 1}Log pseudolikelihood = {res:-234233.07}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14678.849}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-6976.0265}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6883.7336}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6875.1431}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6875.1158}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6875.1158}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-6800.6316}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res:-6664.1202}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -6601.409}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6566.1036}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6564.4291}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6564.4061}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-6564.4061}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(26)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-6564.4061}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0452}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                              troop_dec{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 1.430693{col 53}{space 2} 2.271053{col 64}{space 1}    0.63{col 73}{space 3}0.529{col 81}{space 4}-3.020488{col 94}{space 3} 5.881875
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0781993{col 53}{space 2} .0675771{col 64}{space 1}   -1.16{col 73}{space 3}0.247{col 81}{space 4} -.210648{col 94}{space 3} .0542494
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0632109{col 53}{space 2}  .120873{col 64}{space 1}   -0.52{col 73}{space 3}0.601{col 81}{space 4}-.3001175{col 94}{space 3} .1736958
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-2.566948{col 53}{space 2} 1.090921{col 64}{space 1}   -2.35{col 73}{space 3}0.019{col 81}{space 4}-4.705113{col 94}{space 3}-.4287824
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .1204588{col 53}{space 2} .0620146{col 64}{space 1}    1.94{col 73}{space 3}0.052{col 81}{space 4}-.0010875{col 94}{space 3} .2420051
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.5434425{col 53}{space 2} .7166906{col 64}{space 1}   -0.76{col 73}{space 3}0.448{col 81}{space 4} -1.94813{col 94}{space 3} .8612453
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} 5.262241{col 53}{space 2} 3.698113{col 64}{space 1}    1.42{col 73}{space 3}0.155{col 81}{space 4}-1.985927{col 94}{space 3} 12.51041
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.2091573{col 53}{space 2} .6247062{col 64}{space 1}   -0.33{col 73}{space 3}0.738{col 81}{space 4}-1.433559{col 94}{space 3} 1.015244
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} 37.52825{col 53}{space 2} 80.76042{col 64}{space 1}    0.46{col 73}{space 3}0.642{col 81}{space 4}-120.7593{col 94}{space 3} 195.8158
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.6245172{col 53}{space 2} .1864449{col 64}{space 1}   -3.35{col 73}{space 3}0.001{col 81}{space 4}-.9899424{col 94}{space 3} -.259092
{txt}{space 39} {c |}
{space 30}troops_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} 1.580892{col 53}{space 2}  .401717{col 64}{space 1}    3.94{col 73}{space 3}0.000{col 81}{space 4} .7935411{col 94}{space 3} 2.368243
{txt}{space 39} {c |}
{space 30}troop_dec {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0010129{col 53}{space 2} .0004324{col 64}{space 1}    2.34{col 73}{space 3}0.019{col 81}{space 4} .0001654{col 94}{space 3} .0018605
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2} .0100506{col 53}{space 2} .0109248{col 64}{space 1}    0.92{col 73}{space 3}0.358{col 81}{space 4}-.0113617{col 94}{space 3} .0314629
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2} .0242363{col 53}{space 2} .0112936{col 64}{space 1}    2.15{col 73}{space 3}0.032{col 81}{space 4} .0021012{col 94}{space 3} .0463714
{txt}{space 35}yr_n {c |}{col 41}{res}{space 2} 1.064567{col 53}{space 2} .2789695{col 64}{space 1}    3.82{col 73}{space 3}0.000{col 81}{space 4} .5177971{col 94}{space 3} 1.611337
{txt}{space 34}yr_n2 {c |}{col 41}{res}{space 2}-.0902691{col 53}{space 2} .0183147{col 64}{space 1}   -4.93{col 73}{space 3}0.000{col 81}{space 4}-.1261652{col 94}{space 3} -.054373
{txt}{space 34}yr_n3 {c |}{col 41}{res}{space 2} .0019618{col 53}{space 2} .0003558{col 64}{space 1}    5.51{col 73}{space 3}0.000{col 81}{space 4} .0012645{col 94}{space 3} .0026591
{txt}{space 39} {c |}
{space 34}ccode {c |}
{space 36}20  {c |}{col 41}{res}{space 2}-7.237759{col 53}{space 2} 2.802777{col 64}{space 1}   -2.58{col 73}{space 3}0.010{col 81}{space 4} -12.7311{col 94}{space 3}-1.744417
{txt}{space 36}42  {c |}{col 41}{res}{space 2}-9.441195{col 53}{space 2} 3.223438{col 64}{space 1}   -2.93{col 73}{space 3}0.003{col 81}{space 4}-15.75902{col 94}{space 3}-3.123373
{txt}{space 36}51  {c |}{col 41}{res}{space 2}-10.01426{col 53}{space 2} 3.409943{col 64}{space 1}   -2.94{col 73}{space 3}0.003{col 81}{space 4}-16.69762{col 94}{space 3}-3.330894
{txt}{space 36}52  {c |}{col 41}{res}{space 2}-10.93756{col 53}{space 2} 3.230964{col 64}{space 1}   -3.39{col 73}{space 3}0.001{col 81}{space 4}-17.27013{col 94}{space 3}-4.604984
{txt}{space 36}70  {c |}{col 41}{res}{space 2}-8.066451{col 53}{space 2} 2.694068{col 64}{space 1}   -2.99{col 73}{space 3}0.003{col 81}{space 4}-13.34673{col 94}{space 3}-2.786175
{txt}{space 36}90  {c |}{col 41}{res}{space 2}-6.912486{col 53}{space 2} 3.355727{col 64}{space 1}   -2.06{col 73}{space 3}0.039{col 81}{space 4}-13.48959{col 94}{space 3}-.3353811
{txt}{space 36}91  {c |}{col 41}{res}{space 2}-8.926104{col 53}{space 2} 3.447468{col 64}{space 1}   -2.59{col 73}{space 3}0.010{col 81}{space 4}-15.68302{col 94}{space 3}-2.169191
{txt}{space 36}92  {c |}{col 41}{res}{space 2}-7.088964{col 53}{space 2} 3.458619{col 64}{space 1}   -2.05{col 73}{space 3}0.040{col 81}{space 4}-13.86773{col 94}{space 3}-.3101946
{txt}{space 35}100  {c |}{col 41}{res}{space 2} -9.26204{col 53}{space 2}  3.24652{col 64}{space 1}   -2.85{col 73}{space 3}0.004{col 81}{space 4} -15.6251{col 94}{space 3}-2.898978
{txt}{space 35}101  {c |}{col 41}{res}{space 2}-9.195865{col 53}{space 2} 3.192409{col 64}{space 1}   -2.88{col 73}{space 3}0.004{col 81}{space 4}-15.45287{col 94}{space 3}-2.938858
{txt}{space 35}110  {c |}{col 41}{res}{space 2}-10.51392{col 53}{space 2} 3.442901{col 64}{space 1}   -3.05{col 73}{space 3}0.002{col 81}{space 4}-17.26188{col 94}{space 3}-3.765959
{txt}{space 35}130  {c |}{col 41}{res}{space 2}-7.495023{col 53}{space 2} 3.321305{col 64}{space 1}   -2.26{col 73}{space 3}0.024{col 81}{space 4}-14.00466{col 94}{space 3}-.9853853
{txt}{space 35}135  {c |}{col 41}{res}{space 2}-6.394207{col 53}{space 2} 3.101429{col 64}{space 1}   -2.06{col 73}{space 3}0.039{col 81}{space 4} -12.4729{col 94}{space 3} -.315517
{txt}{space 35}140  {c |}{col 41}{res}{space 2}-2.746831{col 53}{space 2} 2.257617{col 64}{space 1}   -1.22{col 73}{space 3}0.224{col 81}{space 4}-7.171679{col 94}{space 3} 1.678016
{txt}{space 35}145  {c |}{col 41}{res}{space 2}-5.323641{col 53}{space 2}  3.38387{col 64}{space 1}   -1.57{col 73}{space 3}0.116{col 81}{space 4} -11.9559{col 94}{space 3} 1.308622
{txt}{space 35}150  {c |}{col 41}{res}{space 2}-6.959641{col 53}{space 2} 3.293793{col 64}{space 1}   -2.11{col 73}{space 3}0.035{col 81}{space 4}-13.41536{col 94}{space 3}-.5039251
{txt}{space 35}155  {c |}{col 41}{res}{space 2}-6.001432{col 53}{space 2} 3.002267{col 64}{space 1}   -2.00{col 73}{space 3}0.046{col 81}{space 4}-11.88577{col 94}{space 3}-.1170974
{txt}{space 35}160  {c |}{col 41}{res}{space 2}-6.376651{col 53}{space 2} 3.076293{col 64}{space 1}   -2.07{col 73}{space 3}0.038{col 81}{space 4}-12.40608{col 94}{space 3}-.3472264
{txt}{space 35}165  {c |}{col 41}{res}{space 2}-7.339496{col 53}{space 2} 3.284129{col 64}{space 1}   -2.23{col 73}{space 3}0.025{col 81}{space 4}-13.77627{col 94}{space 3} -.902722
{txt}{space 35}200  {c |}{col 41}{res}{space 2}-7.346837{col 53}{space 2} 2.623525{col 64}{space 1}   -2.80{col 73}{space 3}0.005{col 81}{space 4}-12.48885{col 94}{space 3}-2.204822
{txt}{space 35}205  {c |}{col 41}{res}{space 2}-7.788043{col 53}{space 2} 2.925672{col 64}{space 1}   -2.66{col 73}{space 3}0.008{col 81}{space 4}-13.52226{col 94}{space 3} -2.05383
{txt}{space 35}210  {c |}{col 41}{res}{space 2}-7.109464{col 53}{space 2} 2.840704{col 64}{space 1}   -2.50{col 73}{space 3}0.012{col 81}{space 4}-12.67714{col 94}{space 3}-1.541785
{txt}{space 35}211  {c |}{col 41}{res}{space 2}-7.213107{col 53}{space 2} 2.860825{col 64}{space 1}   -2.52{col 73}{space 3}0.012{col 81}{space 4}-12.82022{col 94}{space 3}-1.605993
{txt}{space 35}220  {c |}{col 41}{res}{space 2}-5.799288{col 53}{space 2} 2.364513{col 64}{space 1}   -2.45{col 73}{space 3}0.014{col 81}{space 4}-10.43365{col 94}{space 3}-1.164927
{txt}{space 35}225  {c |}{col 41}{res}{space 2}-10.25737{col 53}{space 2} 2.818316{col 64}{space 1}   -3.64{col 73}{space 3}0.000{col 81}{space 4}-15.78116{col 94}{space 3} -4.73357
{txt}{space 35}230  {c |}{col 41}{res}{space 2}-6.366751{col 53}{space 2} 2.682961{col 64}{space 1}   -2.37{col 73}{space 3}0.018{col 81}{space 4}-11.62526{col 94}{space 3}-1.108244
{txt}{space 35}235  {c |}{col 41}{res}{space 2}-5.944619{col 53}{space 2} 2.944812{col 64}{space 1}   -2.02{col 73}{space 3}0.044{col 81}{space 4}-11.71634{col 94}{space 3}-.1728928
{txt}{space 35}255  {c |}{col 41}{res}{space 2}-6.011317{col 53}{space 2} 2.540686{col 64}{space 1}   -2.37{col 73}{space 3}0.018{col 81}{space 4}-10.99097{col 94}{space 3}-1.031664
{txt}{space 35}290  {c |}{col 41}{res}{space 2}-6.015697{col 53}{space 2} 3.073483{col 64}{space 1}   -1.96{col 73}{space 3}0.050{col 81}{space 4}-12.03961{col 94}{space 3} .0082191
{txt}{space 35}305  {c |}{col 41}{res}{space 2}-7.783535{col 53}{space 2} 2.897861{col 64}{space 1}   -2.69{col 73}{space 3}0.007{col 81}{space 4}-13.46324{col 94}{space 3}-2.103832
{txt}{space 35}310  {c |}{col 41}{res}{space 2}-8.241478{col 53}{space 2} 3.061213{col 64}{space 1}   -2.69{col 73}{space 3}0.007{col 81}{space 4}-14.24134{col 94}{space 3}-2.241611
{txt}{space 35}316  {c |}{col 41}{res}{space 2}-8.622675{col 53}{space 2} 2.958399{col 64}{space 1}   -2.91{col 73}{space 3}0.004{col 81}{space 4}-14.42103{col 94}{space 3} -2.82432
{txt}{space 35}317  {c |}{col 41}{res}{space 2}-6.661771{col 53}{space 2} 3.126062{col 64}{space 1}   -2.13{col 73}{space 3}0.033{col 81}{space 4}-12.78874{col 94}{space 3}-.5348027
{txt}{space 35}325  {c |}{col 41}{res}{space 2}-5.763631{col 53}{space 2}  2.18638{col 64}{space 1}   -2.64{col 73}{space 3}0.008{col 81}{space 4}-10.04886{col 94}{space 3}-1.478405
{txt}{space 35}339  {c |}{col 41}{res}{space 2}-6.302873{col 53}{space 2}  3.40323{col 64}{space 1}   -1.85{col 73}{space 3}0.064{col 81}{space 4}-12.97308{col 94}{space 3} .3673362
{txt}{space 35}343  {c |}{col 41}{res}{space 2}-35.28353{col 53}{space 2}  3.41325{col 64}{space 1}  -10.34{col 73}{space 3}0.000{col 81}{space 4}-41.97338{col 94}{space 3}-28.59368
{txt}{space 35}344  {c |}{col 41}{res}{space 2}-7.034086{col 53}{space 2} 3.170901{col 64}{space 1}   -2.22{col 73}{space 3}0.027{col 81}{space 4}-13.24894{col 94}{space 3} -.819234
{txt}{space 35}345  {c |}{col 41}{res}{space 2}-9.357623{col 53}{space 2} 3.091276{col 64}{space 1}   -3.03{col 73}{space 3}0.002{col 81}{space 4}-15.41641{col 94}{space 3}-3.298834
{txt}{space 35}349  {c |}{col 41}{res}{space 2}-8.715175{col 53}{space 2} 3.003464{col 64}{space 1}   -2.90{col 73}{space 3}0.004{col 81}{space 4}-14.60186{col 94}{space 3}-2.828494
{txt}{space 35}350  {c |}{col 41}{res}{space 2}-6.099176{col 53}{space 2} 2.754182{col 64}{space 1}   -2.21{col 73}{space 3}0.027{col 81}{space 4}-11.49727{col 94}{space 3}-.7010788
{txt}{space 35}352  {c |}{col 41}{res}{space 2}-36.51318{col 53}{space 2} 3.117922{col 64}{space 1}  -11.71{col 73}{space 3}0.000{col 81}{space 4}-42.62419{col 94}{space 3}-30.40216
{txt}{space 35}355  {c |}{col 41}{res}{space 2}-7.207935{col 53}{space 2} 3.198983{col 64}{space 1}   -2.25{col 73}{space 3}0.024{col 81}{space 4}-13.47783{col 94}{space 3}-.9380434
{txt}{space 35}359  {c |}{col 41}{res}{space 2}-10.50504{col 53}{space 2} 3.447854{col 64}{space 1}   -3.05{col 73}{space 3}0.002{col 81}{space 4}-17.26271{col 94}{space 3}-3.747373
{txt}{space 35}360  {c |}{col 41}{res}{space 2}-5.615216{col 53}{space 2} 2.827356{col 64}{space 1}   -1.99{col 73}{space 3}0.047{col 81}{space 4}-11.15673{col 94}{space 3}-.0736998
{txt}{space 35}365  {c |}{col 41}{res}{space 2} 2.906247{col 53}{space 2} 1.330026{col 64}{space 1}    2.19{col 73}{space 3}0.029{col 81}{space 4}  .299445{col 94}{space 3}  5.51305
{txt}{space 35}366  {c |}{col 41}{res}{space 2}-8.221537{col 53}{space 2} 3.203603{col 64}{space 1}   -2.57{col 73}{space 3}0.010{col 81}{space 4}-14.50048{col 94}{space 3}-1.942591
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{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 7.105938{col 53}{space 2} 3.743858{col 64}{space 1}    1.90{col 73}{space 3}0.058{col 81}{space 4}-.2318876{col 94}{space 3} 14.44376
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 2.480974{col 53}{space 2} .0471231{col 81}{space 4} 2.388615{col 94}{space 3} 2.573334
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2}  11.9529{col 53}{space 2} .5632581{col 81}{space 4} 10.89838{col 94}{space 3} 13.10946
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[troop_dec]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [troop_dec]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [troop_dec]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    2.06
{txt}{col 10}Prob > chi2 =  {res}  0.5592
{txt}
{com}. 
.  
.  *****************************************************************
.  **Analyses accounting for multiple SOLS changes (Table 5A)*******
.  *****************************************************************
.  
.  **Multiple SOLS changes**
. 
. *Model 13
. nbreg absch_troops_max L.solsch_2yrs L.otherldrtrns_2yrs L.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1 & L.multipleSOLSch_2yrs==0, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1502733.3}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-818323.42}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-546864.94}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -393185.8}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-388146.69}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-388086.33}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-388086.32}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-16782.326}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12644.566}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12643.952}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12643.952}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12349.017}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12034.055}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11999.962}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11998.509}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11998.504}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11998.504}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,720}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11998.504}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0510}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
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{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
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{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
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{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
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{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
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{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
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{txt}{space 26} {c |}
{space 18}couprisk {c |}
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{txt}{space 26} {c |}
{space 16}milper_hth {c |}
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{txt}{space 26} {c |}
{space 17}troops_th {c |}
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{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
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{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0091634{col 40}{space 2} .0044653{col 51}{space 1}    2.05{col 60}{space 3}0.040{col 68}{space 4} .0004115{col 81}{space 3} .0179152
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{txt}{space 26} {c |}
{space 21}ccode {c |}
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{txt}{space 22}530  {c |}{col 28}{res}{space 2} 2.551857{col 40}{space 2} 2.066949{col 51}{space 1}    1.23{col 60}{space 3}0.217{col 68}{space 4}-1.499289{col 81}{space 3} 6.603002
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{txt}{space 22}552  {c |}{col 28}{res}{space 2}-.3323742{col 40}{space 2} 1.780919{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4}-3.822912{col 81}{space 3} 3.158164
{txt}{space 22}553  {c |}{col 28}{res}{space 2} .0047664{col 40}{space 2}  2.09581{col 51}{space 1}    0.00{col 60}{space 3}0.998{col 68}{space 4}-4.102946{col 81}{space 3} 4.112479
{txt}{space 22}560  {c |}{col 28}{res}{space 2} 2.024327{col 40}{space 2} 1.733129{col 51}{space 1}    1.17{col 60}{space 3}0.243{col 68}{space 4}-1.372543{col 81}{space 3} 5.421196
{txt}{space 22}565  {c |}{col 28}{res}{space 2} .6139747{col 40}{space 2} 1.848978{col 51}{space 1}    0.33{col 60}{space 3}0.740{col 68}{space 4}-3.009956{col 81}{space 3} 4.237906
{txt}{space 22}570  {c |}{col 28}{res}{space 2}-3.919075{col 40}{space 2} 2.110617{col 51}{space 1}   -1.86{col 60}{space 3}0.063{col 68}{space 4}-8.055808{col 81}{space 3}  .217659
{txt}{space 22}571  {c |}{col 28}{res}{space 2}-1.379974{col 40}{space 2} 1.586497{col 51}{space 1}   -0.87{col 60}{space 3}0.384{col 68}{space 4}-4.489452{col 81}{space 3} 1.729504
{txt}{space 22}580  {c |}{col 28}{res}{space 2}-4.282889{col 40}{space 2} 2.194829{col 51}{space 1}   -1.95{col 60}{space 3}0.051{col 68}{space 4}-8.584675{col 81}{space 3} .0188957
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{txt}{space 22}615  {c |}{col 28}{res}{space 2}-3.803735{col 40}{space 2} 1.610751{col 51}{space 1}   -2.36{col 60}{space 3}0.018{col 68}{space 4} -6.96075{col 81}{space 3}-.6467199
{txt}{space 22}616  {c |}{col 28}{res}{space 2}-.0885153{col 40}{space 2} 1.793325{col 51}{space 1}   -0.05{col 60}{space 3}0.961{col 68}{space 4}-3.603367{col 81}{space 3} 3.426336
{txt}{space 22}630  {c |}{col 28}{res}{space 2}-4.252523{col 40}{space 2} 1.755035{col 51}{space 1}   -2.42{col 60}{space 3}0.015{col 68}{space 4}-7.692329{col 81}{space 3}-.8127167
{txt}{space 22}640  {c |}{col 28}{res}{space 2} 1.056755{col 40}{space 2} 1.429666{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4}-1.745339{col 81}{space 3} 3.858848
{txt}{space 22}651  {c |}{col 28}{res}{space 2} 1.892484{col 40}{space 2} 1.632515{col 51}{space 1}    1.16{col 60}{space 3}0.246{col 68}{space 4}-1.307186{col 81}{space 3} 5.092155
{txt}{space 22}663  {c |}{col 28}{res}{space 2} 1.763784{col 40}{space 2} 1.820907{col 51}{space 1}    0.97{col 60}{space 3}0.333{col 68}{space 4}-1.805128{col 81}{space 3} 5.332696
{txt}{space 22}670  {c |}{col 28}{res}{space 2}-2.201839{col 40}{space 2} 1.408849{col 51}{space 1}   -1.56{col 60}{space 3}0.118{col 68}{space 4}-4.963132{col 81}{space 3} .5594539
{txt}{space 22}679  {c |}{col 28}{res}{space 2}-1.059709{col 40}{space 2} 2.154789{col 51}{space 1}   -0.49{col 60}{space 3}0.623{col 68}{space 4}-5.283018{col 81}{space 3} 3.163599
{txt}{space 22}690  {c |}{col 28}{res}{space 2}-3.342879{col 40}{space 2} 1.106188{col 51}{space 1}   -3.02{col 60}{space 3}0.003{col 68}{space 4}-5.510969{col 81}{space 3} -1.17479
{txt}{space 22}694  {c |}{col 28}{res}{space 2} .9023608{col 40}{space 2} 2.379516{col 51}{space 1}    0.38{col 60}{space 3}0.705{col 68}{space 4}-3.761404{col 81}{space 3} 5.566126
{txt}{space 22}696  {c |}{col 28}{res}{space 2}-1.435173{col 40}{space 2} 1.847704{col 51}{space 1}   -0.78{col 60}{space 3}0.437{col 68}{space 4}-5.056606{col 81}{space 3} 2.186259
{txt}{space 22}702  {c |}{col 28}{res}{space 2}-4.822333{col 40}{space 2}  2.13413{col 51}{space 1}   -2.26{col 60}{space 3}0.024{col 68}{space 4}-9.005152{col 81}{space 3}-.6395143
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-4.524207{col 40}{space 2} 2.077132{col 51}{space 1}   -2.18{col 60}{space 3}0.029{col 68}{space 4}-8.595311{col 81}{space 3}-.4531018
{txt}{space 22}705  {c |}{col 28}{res}{space 2} .9970849{col 40}{space 2} 1.571241{col 51}{space 1}    0.63{col 60}{space 3}0.526{col 68}{space 4} -2.08249{col 81}{space 3}  4.07666
{txt}{space 22}710  {c |}{col 28}{res}{space 2}-.9207988{col 40}{space 2} 1.575454{col 51}{space 1}   -0.58{col 60}{space 3}0.559{col 68}{space 4}-4.008631{col 81}{space 3} 2.167034
{txt}{space 22}712  {c |}{col 28}{res}{space 2} 1.390235{col 40}{space 2} 1.923291{col 51}{space 1}    0.72{col 60}{space 3}0.470{col 68}{space 4}-2.379346{col 81}{space 3} 5.159816
{txt}{space 22}732  {c |}{col 28}{res}{space 2} .3012317{col 40}{space 2} .9878336{col 51}{space 1}    0.30{col 60}{space 3}0.760{col 68}{space 4}-1.634886{col 81}{space 3}  2.23735
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.183528{col 40}{space 2}  1.03001{col 51}{space 1}    1.15{col 60}{space 3}0.251{col 68}{space 4}-.8352558{col 81}{space 3} 3.202311
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 3.008688{col 40}{space 2} 1.962064{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.8368878{col 81}{space 3} 6.854263
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-2.754443{col 40}{space 2} 1.951778{col 51}{space 1}   -1.41{col 60}{space 3}0.158{col 68}{space 4}-6.579858{col 81}{space 3} 1.070973
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 2.552631{col 40}{space 2} 1.648707{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4}-.6787757{col 81}{space 3} 5.784038
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 2.159532{col 40}{space 2} 1.825484{col 51}{space 1}    1.18{col 60}{space 3}0.237{col 68}{space 4} -1.41835{col 81}{space 3} 5.737414
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-3.824618{col 40}{space 2} 2.038519{col 51}{space 1}   -1.88{col 60}{space 3}0.061{col 68}{space 4}-7.820041{col 81}{space 3}  .170805
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 1.304389{col 40}{space 2} 1.774572{col 51}{space 1}    0.74{col 60}{space 3}0.462{col 68}{space 4}-2.173708{col 81}{space 3} 4.782486
{txt}{space 22}790  {c |}{col 28}{res}{space 2} 1.421289{col 40}{space 2} 1.922539{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4}-2.346818{col 81}{space 3} 5.189397
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 1.884764{col 40}{space 2} 1.639109{col 51}{space 1}    1.15{col 60}{space 3}0.250{col 68}{space 4}-1.327831{col 81}{space 3} 5.097358
{txt}{space 22}811  {c |}{col 28}{res}{space 2} .4467552{col 40}{space 2} 2.013906{col 51}{space 1}    0.22{col 60}{space 3}0.824{col 68}{space 4}-3.500427{col 81}{space 3} 4.393938
{txt}{space 22}816  {c |}{col 28}{res}{space 2}-1.409264{col 40}{space 2} 1.927578{col 51}{space 1}   -0.73{col 60}{space 3}0.465{col 68}{space 4}-5.187248{col 81}{space 3} 2.368721
{txt}{space 22}820  {c |}{col 28}{res}{space 2} .3176412{col 40}{space 2} 1.494249{col 51}{space 1}    0.21{col 60}{space 3}0.832{col 68}{space 4}-2.611032{col 81}{space 3} 3.246315
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-1.019171{col 40}{space 2} 1.014813{col 51}{space 1}   -1.00{col 60}{space 3}0.315{col 68}{space 4}-3.008169{col 81}{space 3} .9698259
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 1.705252{col 40}{space 2} 1.999679{col 51}{space 1}    0.85{col 60}{space 3}0.394{col 68}{space 4}-2.214046{col 81}{space 3} 5.624551
{txt}{space 22}850  {c |}{col 28}{res}{space 2} 1.033298{col 40}{space 2} 1.662181{col 51}{space 1}    0.62{col 60}{space 3}0.534{col 68}{space 4}-2.224517{col 81}{space 3} 4.291113
{txt}{space 22}900  {c |}{col 28}{res}{space 2}  1.46283{col 40}{space 2} 1.036662{col 51}{space 1}    1.41{col 60}{space 3}0.158{col 68}{space 4}-.5689896{col 81}{space 3}  3.49465
{txt}{space 22}920  {c |}{col 28}{res}{space 2} .4310103{col 40}{space 2} 1.241477{col 51}{space 1}    0.35{col 60}{space 3}0.728{col 68}{space 4} -2.00224{col 81}{space 3} 2.864261
{txt}{space 22}950  {c |}{col 28}{res}{space 2} .4593442{col 40}{space 2} 1.854781{col 51}{space 1}    0.25{col 60}{space 3}0.804{col 68}{space 4} -3.17596{col 81}{space 3} 4.094648
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 6.843494{col 40}{space 2} 1.954715{col 51}{space 1}    3.50{col 60}{space 3}0.000{col 68}{space 4} 3.012324{col 81}{space 3} 10.67466
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.355479{col 40}{space 2} .0620899{col 68}{space 4} 1.233785{col 81}{space 3} 1.477173
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  3.87862{col 40}{space 2} .2408232{col 68}{space 4} 3.434205{col 81}{space 3} 4.380546
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 14
. nbreg absch_troops_max L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1 & L.multipleSOLSch_2yrs==0, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1505213.7}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-826604.41}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-541836.39}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-390416.71}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-385389.65}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-385329.56}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-385329.56}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-16782.326}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12644.566}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12643.952}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12643.952}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12347.847}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12041.749}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11995.541}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11992.918}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11992.907}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11992.907}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,720}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11992.907}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0515}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_max{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 2.182933{col 53}{space 2} .6450705{col 64}{space 1}    3.38{col 73}{space 3}0.001{col 81}{space 4} .9186175{col 94}{space 3} 3.447248
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0067113{col 53}{space 2} .0462601{col 64}{space 1}    0.15{col 73}{space 3}0.885{col 81}{space 4}-.0839569{col 94}{space 3} .0973795
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1167969{col 53}{space 2} .0374111{col 64}{space 1}   -3.12{col 73}{space 3}0.002{col 81}{space 4}-.1901214{col 94}{space 3}-.0434725
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1567693{col 53}{space 2} .5581483{col 64}{space 1}   -0.28{col 73}{space 3}0.779{col 81}{space 4} -1.25072{col 94}{space 3} .9371813
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0042727{col 53}{space 2} .0319863{col 64}{space 1}    0.13{col 73}{space 3}0.894{col 81}{space 4}-.0584193{col 94}{space 3} .0669646
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0175275{col 53}{space 2} .2709434{col 64}{space 1}    0.06{col 73}{space 3}0.948{col 81}{space 4}-.5135118{col 94}{space 3} .5485669
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.8075589{col 53}{space 2} 2.918054{col 64}{space 1}   -0.28{col 73}{space 3}0.782{col 81}{space 4} -6.52684{col 94}{space 3} 4.911722
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3101803{col 53}{space 2} .2543731{col 64}{space 1}   -1.22{col 73}{space 3}0.223{col 81}{space 4}-.8087424{col 94}{space 3} .1883818
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-133.1055{col 53}{space 2} 49.44342{col 64}{space 1}   -2.69{col 73}{space 3}0.007{col 81}{space 4}-230.0128{col 94}{space 3}-36.19814
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0426528{col 53}{space 2} .0521646{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4} -.059588{col 94}{space 3} .1448936
{txt}{space 39} {c |}
{space 30}troops_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .2013245{col 53}{space 2} .0935804{col 64}{space 1}    2.15{col 73}{space 3}0.031{col 81}{space 4} .0179104{col 94}{space 3} .3847387
{txt}{space 39} {c |}
{space 23}absch_troops_max {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0002095{col 53}{space 2} .0000969{col 64}{space 1}   -2.16{col 73}{space 3}0.031{col 81}{space 4}-.0003994{col 94}{space 3}-.0000196
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2}  .008829{col 53}{space 2} .0044087{col 64}{space 1}    2.00{col 73}{space 3}0.045{col 81}{space 4}  .000188{col 94}{space 3} .0174699
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2} .0129944{col 53}{space 2} .0038836{col 64}{space 1}    3.35{col 73}{space 3}0.001{col 81}{space 4} .0053827{col 94}{space 3} .0206061
{txt}{space 35}yr_n {c |}{col 41}{res}{space 2}-.3303577{col 53}{space 2} .1223116{col 64}{space 1}   -2.70{col 73}{space 3}0.007{col 81}{space 4}-.5700839{col 94}{space 3}-.0906314
{txt}{space 34}yr_n2 {c |}{col 41}{res}{space 2} .0057982{col 53}{space 2} .0086177{col 64}{space 1}    0.67{col 73}{space 3}0.501{col 81}{space 4}-.0110922{col 94}{space 3} .0226887
{txt}{space 34}yr_n3 {c |}{col 41}{res}{space 2} .0000352{col 53}{space 2} .0001836{col 64}{space 1}    0.19{col 73}{space 3}0.848{col 81}{space 4}-.0003246{col 94}{space 3}  .000395
{txt}{space 39} {c |}
{space 34}ccode {c |}
{space 36}20  {c |}{col 41}{res}{space 2} .9279282{col 53}{space 2} .9649695{col 64}{space 1}    0.96{col 73}{space 3}0.336{col 81}{space 4}-.9633773{col 94}{space 3} 2.819234
{txt}{space 36}42  {c |}{col 41}{res}{space 2}-3.780883{col 53}{space 2} 1.764619{col 64}{space 1}   -2.14{col 73}{space 3}0.032{col 81}{space 4}-7.239473{col 94}{space 3}-.3222934
{txt}{space 36}51  {c |}{col 41}{res}{space 2}-3.446513{col 53}{space 2} 1.663959{col 64}{space 1}   -2.07{col 73}{space 3}0.038{col 81}{space 4}-6.707813{col 94}{space 3}-.1852123
{txt}{space 36}52  {c |}{col 41}{res}{space 2}-3.851687{col 53}{space 2} 1.492701{col 64}{space 1}   -2.58{col 73}{space 3}0.010{col 81}{space 4}-6.777327{col 94}{space 3}-.9260473
{txt}{space 36}70  {c |}{col 41}{res}{space 2}-2.469916{col 53}{space 2} 1.542717{col 64}{space 1}   -1.60{col 73}{space 3}0.109{col 81}{space 4}-5.493586{col 94}{space 3} .5537545
{txt}{space 36}90  {c |}{col 41}{res}{space 2}-.4442001{col 53}{space 2} 1.840993{col 64}{space 1}   -0.24{col 73}{space 3}0.809{col 81}{space 4} -4.05248{col 94}{space 3}  3.16408
{txt}{space 36}91  {c |}{col 41}{res}{space 2}-1.982307{col 53}{space 2} 1.935694{col 64}{space 1}   -1.02{col 73}{space 3}0.306{col 81}{space 4}-5.776197{col 94}{space 3} 1.811583
{txt}{space 36}92  {c |}{col 41}{res}{space 2}-.2825066{col 53}{space 2} 1.937474{col 64}{space 1}   -0.15{col 73}{space 3}0.884{col 81}{space 4}-4.079885{col 94}{space 3} 3.514872
{txt}{space 35}100  {c |}{col 41}{res}{space 2}-4.945704{col 53}{space 2} 1.617362{col 64}{space 1}   -3.06{col 73}{space 3}0.002{col 81}{space 4}-8.115675{col 94}{space 3}-1.775733
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{txt}{space 35}732  {c |}{col 41}{res}{space 2} .3134148{col 53}{space 2} .9724595{col 64}{space 1}    0.32{col 73}{space 3}0.747{col 81}{space 4}-1.592571{col 94}{space 3}   2.2194
{txt}{space 35}740  {c |}{col 41}{res}{space 2} 1.116207{col 53}{space 2} 1.004826{col 64}{space 1}    1.11{col 73}{space 3}0.267{col 81}{space 4}-.8532153{col 94}{space 3} 3.085629
{txt}{space 35}750  {c |}{col 41}{res}{space 2} 3.205245{col 53}{space 2} 1.853711{col 64}{space 1}    1.73{col 73}{space 3}0.084{col 81}{space 4}-.4279621{col 94}{space 3} 6.838452
{txt}{space 35}760  {c |}{col 41}{res}{space 2}-2.745909{col 53}{space 2} 1.915942{col 64}{space 1}   -1.43{col 73}{space 3}0.152{col 81}{space 4}-6.501086{col 94}{space 3} 1.009268
{txt}{space 35}770  {c |}{col 41}{res}{space 2} 2.461905{col 53}{space 2} 1.560191{col 64}{space 1}    1.58{col 73}{space 3}0.115{col 81}{space 4}-.5960133{col 94}{space 3} 5.519824
{txt}{space 35}771  {c |}{col 41}{res}{space 2} 2.259369{col 53}{space 2} 1.793931{col 64}{space 1}    1.26{col 73}{space 3}0.208{col 81}{space 4}-1.256672{col 94}{space 3} 5.775409
{txt}{space 35}775  {c |}{col 41}{res}{space 2}-3.504346{col 53}{space 2} 1.990864{col 64}{space 1}   -1.76{col 73}{space 3}0.078{col 81}{space 4}-7.406368{col 94}{space 3} .3976758
{txt}{space 35}780  {c |}{col 41}{res}{space 2} 1.411357{col 53}{space 2} 1.751174{col 64}{space 1}    0.81{col 73}{space 3}0.420{col 81}{space 4}-2.020881{col 94}{space 3} 4.843595
{txt}{space 35}790  {c |}{col 41}{res}{space 2} 1.080183{col 53}{space 2} 1.861593{col 64}{space 1}    0.58{col 73}{space 3}0.562{col 81}{space 4}-2.568471{col 94}{space 3} 4.728838
{txt}{space 35}800  {c |}{col 41}{res}{space 2} 1.705117{col 53}{space 2} 1.582913{col 64}{space 1}    1.08{col 73}{space 3}0.281{col 81}{space 4}-1.397336{col 94}{space 3}  4.80757
{txt}{space 35}811  {c |}{col 41}{res}{space 2} .6429745{col 53}{space 2}  1.99609{col 64}{space 1}    0.32{col 73}{space 3}0.747{col 81}{space 4} -3.26929{col 94}{space 3} 4.555238
{txt}{space 35}816  {c |}{col 41}{res}{space 2}-.9631712{col 53}{space 2}  1.93661{col 64}{space 1}   -0.50{col 73}{space 3}0.619{col 81}{space 4}-4.758858{col 94}{space 3} 2.832515
{txt}{space 35}820  {c |}{col 41}{res}{space 2} .4078625{col 53}{space 2} 1.474466{col 64}{space 1}    0.28{col 73}{space 3}0.782{col 81}{space 4}-2.482039{col 94}{space 3} 3.297764
{txt}{space 35}830  {c |}{col 41}{res}{space 2}-.8010588{col 53}{space 2} .9887755{col 64}{space 1}   -0.81{col 73}{space 3}0.418{col 81}{space 4}-2.739023{col 94}{space 3} 1.136906
{txt}{space 35}840  {c |}{col 41}{res}{space 2} 1.736847{col 53}{space 2} 1.915691{col 64}{space 1}    0.91{col 73}{space 3}0.365{col 81}{space 4}-2.017838{col 94}{space 3} 5.491533
{txt}{space 35}850  {c |}{col 41}{res}{space 2} 1.175739{col 53}{space 2} 1.632934{col 64}{space 1}    0.72{col 73}{space 3}0.472{col 81}{space 4}-2.024753{col 94}{space 3}  4.37623
{txt}{space 35}900  {c |}{col 41}{res}{space 2} 1.316494{col 53}{space 2} .9978007{col 64}{space 1}    1.32{col 73}{space 3}0.187{col 81}{space 4}-.6391591{col 94}{space 3} 3.272148
{txt}{space 35}920  {c |}{col 41}{res}{space 2} .3752403{col 53}{space 2} 1.200975{col 64}{space 1}    0.31{col 73}{space 3}0.755{col 81}{space 4}-1.978628{col 94}{space 3} 2.729109
{txt}{space 35}950  {c |}{col 41}{res}{space 2} .6819129{col 53}{space 2} 1.848904{col 64}{space 1}    0.37{col 73}{space 3}0.712{col 81}{space 4}-2.941871{col 94}{space 3} 4.305697
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 6.569014{col 53}{space 2} 1.940101{col 64}{space 1}    3.39{col 73}{space 3}0.001{col 81}{space 4} 2.766486{col 94}{space 3} 10.37154
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 1.351609{col 53}{space 2} .0624528{col 81}{space 4} 1.229204{col 94}{space 3} 1.474014
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 3.863637{col 53}{space 2} .2412949{col 81}{space 4} 3.418506{col 94}{space 3} 4.366728
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_max]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_max]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_max]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   15.19
{txt}{col 10}Prob > chi2 =  {res}  0.0017
{txt}
{com}. 
. *Model 15
. nbreg absch_troops_max L.solsch_2yrs L.otherldrtrns_2yrs L.polity2_newscale L.multipleSOLSch_2yrs  L.regtrans_2yrs  L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1518227.3}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-821012.38}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-559671.06}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -399598.2}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-394051.11}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-393979.31}  
Iteration 6:{space 2}Log pseudolikelihood = {res: -393979.3}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12509.733}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12192.636}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12156.475}  
Iteration 3:{space 2}Log pseudolikelihood = {res:  -12154.9}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12154.895}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12154.895}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12154.895}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0510}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0815324{col 40}{space 2} .1342242{col 51}{space 1}    0.61{col 60}{space 3}0.544{col 68}{space 4}-.1815422{col 81}{space 3}  .344607
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.1152597{col 40}{space 2} .1571639{col 51}{space 1}   -0.73{col 60}{space 3}0.463{col 68}{space 4}-.4232954{col 81}{space 3} .1927759
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0128387{col 40}{space 2} .0449392{col 51}{space 1}   -0.29{col 60}{space 3}0.775{col 68}{space 4} -.100918{col 81}{space 3} .0752406
{txt}{space 26} {c |}
{space 7}multipleSOLSch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.5605477{col 40}{space 2} .4827555{col 51}{space 1}   -1.16{col 60}{space 3}0.246{col 68}{space 4}-1.506731{col 81}{space 3} .3856357
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1851281{col 40}{space 2} .2832518{col 51}{space 1}    0.65{col 60}{space 3}0.513{col 68}{space 4}-.3700352{col 81}{space 3} .7402914
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} -1.05989{col 40}{space 2} 2.968486{col 51}{space 1}   -0.36{col 60}{space 3}0.721{col 68}{space 4}-6.878016{col 81}{space 3} 4.758236
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3332645{col 40}{space 2} .2757136{col 51}{space 1}   -1.21{col 60}{space 3}0.227{col 68}{space 4}-.8736533{col 81}{space 3} .2071242
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-75.62108{col 40}{space 2} 50.92824{col 51}{space 1}   -1.48{col 60}{space 3}0.138{col 68}{space 4}-175.4386{col 81}{space 3} 24.19643
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0499566{col 40}{space 2} .0546735{col 51}{space 1}    0.91{col 60}{space 3}0.361{col 68}{space 4}-.0572016{col 81}{space 3} .1571148
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .204348{col 40}{space 2} .1026643{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0031296{col 81}{space 3} .4055663
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0002207{col 40}{space 2} .0001039{col 51}{space 1}   -2.12{col 60}{space 3}0.034{col 68}{space 4}-.0004244{col 81}{space 3}-.0000171
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0092254{col 40}{space 2} .0042898{col 51}{space 1}    2.15{col 60}{space 3}0.032{col 68}{space 4} .0008176{col 81}{space 3} .0176332
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0134415{col 40}{space 2}  .003874{col 51}{space 1}    3.47{col 60}{space 3}0.001{col 68}{space 4} .0058485{col 81}{space 3} .0210344
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.2999314{col 40}{space 2} .1235462{col 51}{space 1}   -2.43{col 60}{space 3}0.015{col 68}{space 4}-.5420775{col 81}{space 3}-.0577853
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0046963{col 40}{space 2} .0088382{col 51}{space 1}    0.53{col 60}{space 3}0.595{col 68}{space 4}-.0126263{col 81}{space 3} .0220189
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0000478{col 40}{space 2} .0001877{col 51}{space 1}    0.25{col 60}{space 3}0.799{col 68}{space 4}  -.00032{col 81}{space 3} .0004157
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} 1.005382{col 40}{space 2} .9915359{col 51}{space 1}    1.01{col 60}{space 3}0.311{col 68}{space 4}-.9379921{col 81}{space 3} 2.948757
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-3.865241{col 40}{space 2}  1.79922{col 51}{space 1}   -2.15{col 60}{space 3}0.032{col 68}{space 4}-7.391647{col 81}{space 3}-.3388352
{txt}{space 23}51  {c |}{col 28}{res}{space 2} -3.44226{col 40}{space 2} 1.702282{col 51}{space 1}   -2.02{col 60}{space 3}0.043{col 68}{space 4}-6.778672{col 81}{space 3}-.1058482
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-3.899106{col 40}{space 2} 1.528396{col 51}{space 1}   -2.55{col 60}{space 3}0.011{col 68}{space 4}-6.894707{col 81}{space 3}-.9035055
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-2.568876{col 40}{space 2} 1.569339{col 51}{space 1}   -1.64{col 60}{space 3}0.102{col 68}{space 4}-5.644723{col 81}{space 3}  .506971
{txt}{space 23}90  {c |}{col 28}{res}{space 2}-.6178857{col 40}{space 2} 1.886845{col 51}{space 1}   -0.33{col 60}{space 3}0.743{col 68}{space 4}-4.316034{col 81}{space 3} 3.080262
{txt}{space 23}91  {c |}{col 28}{res}{space 2}-2.077159{col 40}{space 2}  1.95763{col 51}{space 1}   -1.06{col 60}{space 3}0.289{col 68}{space 4}-5.914043{col 81}{space 3} 1.759725
{txt}{space 23}92  {c |}{col 28}{res}{space 2} -.393763{col 40}{space 2} 1.975015{col 51}{space 1}   -0.20{col 60}{space 3}0.842{col 68}{space 4}-4.264721{col 81}{space 3} 3.477195
{txt}{space 22}100  {c |}{col 28}{res}{space 2} -4.95882{col 40}{space 2} 1.691647{col 51}{space 1}   -2.93{col 60}{space 3}0.003{col 68}{space 4}-8.274388{col 81}{space 3}-1.643253
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-4.155659{col 40}{space 2}   1.6013{col 51}{space 1}   -2.60{col 60}{space 3}0.009{col 68}{space 4} -7.29415{col 81}{space 3}-1.017168
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-3.884584{col 40}{space 2}  1.73986{col 51}{space 1}   -2.23{col 60}{space 3}0.026{col 68}{space 4}-7.294646{col 81}{space 3}-.4745217
{txt}{space 22}130  {c |}{col 28}{res}{space 2}-1.619031{col 40}{space 2} 1.855925{col 51}{space 1}   -0.87{col 60}{space 3}0.383{col 68}{space 4}-5.256577{col 81}{space 3} 2.018515
{txt}{space 22}135  {c |}{col 28}{res}{space 2}-.2561934{col 40}{space 2} 1.819595{col 51}{space 1}   -0.14{col 60}{space 3}0.888{col 68}{space 4}-3.822534{col 81}{space 3} 3.310147
{txt}{space 22}140  {c |}{col 28}{res}{space 2} 1.011351{col 40}{space 2} 1.459611{col 51}{space 1}    0.69{col 60}{space 3}0.488{col 68}{space 4}-1.849434{col 81}{space 3} 3.872136
{txt}{space 22}145  {c |}{col 28}{res}{space 2} .1968049{col 40}{space 2}  1.93081{col 51}{space 1}    0.10{col 60}{space 3}0.919{col 68}{space 4}-3.587513{col 81}{space 3} 3.981123
{txt}{space 22}150  {c |}{col 28}{res}{space 2}-.7283525{col 40}{space 2} 1.872813{col 51}{space 1}   -0.39{col 60}{space 3}0.697{col 68}{space 4}-4.398999{col 81}{space 3} 2.942294
{txt}{space 22}155  {c |}{col 28}{res}{space 2} .5533909{col 40}{space 2} 1.562574{col 51}{space 1}    0.35{col 60}{space 3}0.723{col 68}{space 4}-2.509197{col 81}{space 3} 3.615979
{txt}{space 22}160  {c |}{col 28}{res}{space 2} .4953444{col 40}{space 2} 1.567413{col 51}{space 1}    0.32{col 60}{space 3}0.752{col 68}{space 4}-2.576729{col 81}{space 3} 3.567418
{txt}{space 22}165  {c |}{col 28}{res}{space 2} 1.389501{col 40}{space 2} 1.611436{col 51}{space 1}    0.86{col 60}{space 3}0.389{col 68}{space 4}-1.768857{col 81}{space 3} 4.547858
{txt}{space 22}200  {c |}{col 28}{res}{space 2} .9622152{col 40}{space 2}  .978623{col 51}{space 1}    0.98{col 60}{space 3}0.325{col 68}{space 4}-.9558505{col 81}{space 3} 2.880281
{txt}{space 22}205  {c |}{col 28}{res}{space 2}  1.19486{col 40}{space 2} .9550832{col 51}{space 1}    1.25{col 60}{space 3}0.211{col 68}{space 4}-.6770686{col 81}{space 3} 3.066789
{txt}{space 22}210  {c |}{col 28}{res}{space 2} 1.641923{col 40}{space 2} .9869245{col 51}{space 1}    1.66{col 60}{space 3}0.096{col 68}{space 4}-.2924132{col 81}{space 3}  3.57626
{txt}{space 22}211  {c |}{col 28}{res}{space 2} .8982077{col 40}{space 2} 1.069337{col 51}{space 1}    0.84{col 60}{space 3}0.401{col 68}{space 4}-1.197654{col 81}{space 3}  2.99407
{txt}{space 22}220  {c |}{col 28}{res}{space 2} 1.628856{col 40}{space 2} .9490785{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-.2313032{col 81}{space 3} 3.489016
{txt}{space 22}225  {c |}{col 28}{res}{space 2}-2.361823{col 40}{space 2} .8859523{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4}-4.098258{col 81}{space 3}-.6253884
{txt}{space 22}230  {c |}{col 28}{res}{space 2} 1.025737{col 40}{space 2} 1.155857{col 51}{space 1}    0.89{col 60}{space 3}0.375{col 68}{space 4}  -1.2397{col 81}{space 3} 3.291174
{txt}{space 22}235  {c |}{col 28}{res}{space 2} .9434929{col 40}{space 2} 1.327362{col 51}{space 1}    0.71{col 60}{space 3}0.477{col 68}{space 4}-1.658088{col 81}{space 3} 3.545074
{txt}{space 22}255  {c |}{col 28}{res}{space 2} 1.224542{col 40}{space 2} .9655085{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-.6678195{col 81}{space 3} 3.116904
{txt}{space 22}290  {c |}{col 28}{res}{space 2} .5872841{col 40}{space 2} 1.504024{col 51}{space 1}    0.39{col 60}{space 3}0.696{col 68}{space 4}-2.360548{col 81}{space 3} 3.535116
{txt}{space 22}305  {c |}{col 28}{res}{space 2} .4723231{col 40}{space 2} 1.028633{col 51}{space 1}    0.46{col 60}{space 3}0.646{col 68}{space 4}-1.543761{col 81}{space 3} 2.488408
{txt}{space 22}310  {c |}{col 28}{res}{space 2}-2.131727{col 40}{space 2} 1.472353{col 51}{space 1}   -1.45{col 60}{space 3}0.148{col 68}{space 4}-5.017486{col 81}{space 3} .7540326
{txt}{space 22}316  {c |}{col 28}{res}{space 2}-1.274019{col 40}{space 2} 1.259538{col 51}{space 1}   -1.01{col 60}{space 3}0.312{col 68}{space 4}-3.742668{col 81}{space 3}  1.19463
{txt}{space 22}317  {c |}{col 28}{res}{space 2} .3186251{col 40}{space 2} 1.480036{col 51}{space 1}    0.22{col 60}{space 3}0.830{col 68}{space 4}-2.582192{col 81}{space 3} 3.219442
{txt}{space 22}325  {c |}{col 28}{res}{space 2} 1.738103{col 40}{space 2} .9497774{col 51}{space 1}    1.83{col 60}{space 3}0.067{col 68}{space 4}-.1234267{col 81}{space 3} 3.599632
{txt}{space 22}339  {c |}{col 28}{res}{space 2}-1.004022{col 40}{space 2}  1.90709{col 51}{space 1}   -0.53{col 60}{space 3}0.599{col 68}{space 4} -4.74185{col 81}{space 3} 2.733806
{txt}{space 22}343  {c |}{col 28}{res}{space 2}-5.425706{col 40}{space 2} 1.803394{col 51}{space 1}   -3.01{col 60}{space 3}0.003{col 68}{space 4}-8.960292{col 81}{space 3}-1.891119
{txt}{space 22}344  {c |}{col 28}{res}{space 2}-.5811513{col 40}{space 2} 1.558267{col 51}{space 1}   -0.37{col 60}{space 3}0.709{col 68}{space 4}-3.635298{col 81}{space 3} 2.472995
{txt}{space 22}345  {c |}{col 28}{res}{space 2}-.8623494{col 40}{space 2} 1.762611{col 51}{space 1}   -0.49{col 60}{space 3}0.625{col 68}{space 4}-4.317004{col 81}{space 3} 2.592305
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{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 6.696556{col 40}{space 2} 1.936375{col 51}{space 1}    3.46{col 60}{space 3}0.001{col 68}{space 4}  2.90133{col 81}{space 3} 10.49178
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.355816{col 40}{space 2} .0617852{col 68}{space 4} 1.234719{col 81}{space 3} 1.476913
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.879925{col 40}{space 2} .2397218{col 68}{space 4} 3.437413{col 81}{space 3} 4.379403
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 16
. nbreg absch_troops_max L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.multipleSOLSch_2yrs  L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_th L.absch_troops_max authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1522485.1}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-829193.62}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-553809.89}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-396936.62}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-391389.17}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-391317.43}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-391317.41}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17002.414}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12808.988}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12808.399}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12808.399}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12508.611}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12200.751}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12152.563}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12149.788}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12149.777}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12149.777}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12149.777}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0514}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_max{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 2.080432{col 53}{space 2} .6829553{col 64}{space 1}    3.05{col 73}{space 3}0.002{col 81}{space 4} .7418645{col 94}{space 3}    3.419
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0117039{col 53}{space 2} .0452936{col 64}{space 1}    0.26{col 73}{space 3}0.796{col 81}{space 4}-.0770698{col 94}{space 3} .1004777
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}  -.11194{col 53}{space 2} .0392579{col 64}{space 1}   -2.85{col 73}{space 3}0.004{col 81}{space 4}-.1888841{col 94}{space 3}-.0349959
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
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{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0103774{col 53}{space 2} .0321386{col 64}{space 1}    0.32{col 73}{space 3}0.747{col 81}{space 4}-.0526131{col 94}{space 3} .0733678
{txt}{space 39} {c |}
{space 20}multipleSOLSch_2yrs {c |}
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{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
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{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
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{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
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{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-105.4691{col 53}{space 2}  44.0786{col 64}{space 1}   -2.39{col 73}{space 3}0.017{col 81}{space 4}-191.8615{col 94}{space 3} -19.0766
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0397909{col 53}{space 2} .0514738{col 64}{space 1}    0.77{col 73}{space 3}0.440{col 81}{space 4} -.061096{col 94}{space 3} .1406778
{txt}{space 39} {c |}
{space 30}troops_th {c |}
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{txt}{space 39} {c |}
{space 23}absch_troops_max {c |}
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{txt}{space 39} {c |}
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{txt}{space 39} {c |}
{space 34}ccode {c |}
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{txt}{space 35}630  {c |}{col 41}{res}{space 2} -3.80023{col 53}{space 2} 1.751161{col 64}{space 1}   -2.17{col 73}{space 3}0.030{col 81}{space 4}-7.232442{col 94}{space 3}-.3680178
{txt}{space 35}640  {c |}{col 41}{res}{space 2} .9874708{col 53}{space 2} 1.403127{col 64}{space 1}    0.70{col 73}{space 3}0.482{col 81}{space 4}-1.762608{col 94}{space 3} 3.737549
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{txt}{space 35}663  {c |}{col 41}{res}{space 2} 1.969232{col 53}{space 2} 1.811076{col 64}{space 1}    1.09{col 73}{space 3}0.277{col 81}{space 4}-1.580412{col 94}{space 3} 5.518876
{txt}{space 35}670  {c |}{col 41}{res}{space 2}-1.781222{col 53}{space 2} 1.382044{col 64}{space 1}   -1.29{col 73}{space 3}0.197{col 81}{space 4}-4.489979{col 94}{space 3} .9275357
{txt}{space 35}679  {c |}{col 41}{res}{space 2}-.8716182{col 53}{space 2} 2.129603{col 64}{space 1}   -0.41{col 73}{space 3}0.682{col 81}{space 4}-5.045564{col 94}{space 3} 3.302327
{txt}{space 35}690  {c |}{col 41}{res}{space 2}-2.991655{col 53}{space 2} 1.045476{col 64}{space 1}   -2.86{col 73}{space 3}0.004{col 81}{space 4} -5.04075{col 94}{space 3}-.9425603
{txt}{space 35}694  {c |}{col 41}{res}{space 2} 1.236588{col 53}{space 2}  2.30163{col 64}{space 1}    0.54{col 73}{space 3}0.591{col 81}{space 4}-3.274524{col 94}{space 3} 5.747699
{txt}{space 35}696  {c |}{col 41}{res}{space 2}-1.144944{col 53}{space 2} 1.744365{col 64}{space 1}   -0.66{col 73}{space 3}0.512{col 81}{space 4}-4.563836{col 94}{space 3} 2.273949
{txt}{space 35}702  {c |}{col 41}{res}{space 2}-4.576679{col 53}{space 2} 2.128197{col 64}{space 1}   -2.15{col 73}{space 3}0.032{col 81}{space 4}-8.747869{col 94}{space 3}-.4054886
{txt}{space 35}703  {c |}{col 41}{res}{space 2}-4.588487{col 53}{space 2} 2.051953{col 64}{space 1}   -2.24{col 73}{space 3}0.025{col 81}{space 4}-8.610241{col 94}{space 3}-.5667328
{txt}{space 35}705  {c |}{col 41}{res}{space 2} 1.331173{col 53}{space 2} 1.556809{col 64}{space 1}    0.86{col 73}{space 3}0.393{col 81}{space 4}-1.720117{col 94}{space 3} 4.382463
{txt}{space 35}710  {c |}{col 41}{res}{space 2}-.1825299{col 53}{space 2}  1.55564{col 64}{space 1}   -0.12{col 73}{space 3}0.907{col 81}{space 4}-3.231529{col 94}{space 3} 2.866469
{txt}{space 35}712  {c |}{col 41}{res}{space 2} 1.261222{col 53}{space 2} 1.889952{col 64}{space 1}    0.67{col 73}{space 3}0.505{col 81}{space 4}-2.443015{col 94}{space 3} 4.965459
{txt}{space 35}732  {c |}{col 41}{res}{space 2} .2494745{col 53}{space 2} .9718392{col 64}{space 1}    0.26{col 73}{space 3}0.797{col 81}{space 4}-1.655295{col 94}{space 3} 2.154244
{txt}{space 35}740  {c |}{col 41}{res}{space 2}  .966167{col 53}{space 2} .9957092{col 64}{space 1}    0.97{col 73}{space 3}0.332{col 81}{space 4}-.9853873{col 94}{space 3} 2.917721
{txt}{space 35}750  {c |}{col 41}{res}{space 2} 3.238889{col 53}{space 2}  1.90603{col 64}{space 1}    1.70{col 73}{space 3}0.089{col 81}{space 4}-.4968616{col 94}{space 3} 6.974641
{txt}{space 35}760  {c |}{col 41}{res}{space 2}-2.819487{col 53}{space 2} 1.921355{col 64}{space 1}   -1.47{col 73}{space 3}0.142{col 81}{space 4}-6.585274{col 94}{space 3} .9462998
{txt}{space 35}770  {c |}{col 41}{res}{space 2} 2.274301{col 53}{space 2} 1.564847{col 64}{space 1}    1.45{col 73}{space 3}0.146{col 81}{space 4}-.7927429{col 94}{space 3} 5.341344
{txt}{space 35}771  {c |}{col 41}{res}{space 2} 2.044496{col 53}{space 2} 1.794077{col 64}{space 1}    1.14{col 73}{space 3}0.254{col 81}{space 4}-1.471831{col 94}{space 3} 5.560823
{txt}{space 35}775  {c |}{col 41}{res}{space 2}-3.512229{col 53}{space 2} 2.011315{col 64}{space 1}   -1.75{col 73}{space 3}0.081{col 81}{space 4}-7.454334{col 94}{space 3} .4298765
{txt}{space 35}780  {c |}{col 41}{res}{space 2} 1.319415{col 53}{space 2} 1.756844{col 64}{space 1}    0.75{col 73}{space 3}0.453{col 81}{space 4}-2.123937{col 94}{space 3} 4.762766
{txt}{space 35}790  {c |}{col 41}{res}{space 2} 1.141071{col 53}{space 2}  1.88321{col 64}{space 1}    0.61{col 73}{space 3}0.545{col 81}{space 4}-2.549952{col 94}{space 3} 4.832094
{txt}{space 35}800  {c |}{col 41}{res}{space 2} 1.577744{col 53}{space 2} 1.592278{col 64}{space 1}    0.99{col 73}{space 3}0.322{col 81}{space 4}-1.543063{col 94}{space 3} 4.698551
{txt}{space 35}811  {c |}{col 41}{res}{space 2} .5475933{col 53}{space 2} 2.003376{col 64}{space 1}    0.27{col 73}{space 3}0.785{col 81}{space 4}-3.378952{col 94}{space 3} 4.474139
{txt}{space 35}816  {c |}{col 41}{res}{space 2}-.9737969{col 53}{space 2} 1.934428{col 64}{space 1}   -0.50{col 73}{space 3}0.615{col 81}{space 4}-4.765206{col 94}{space 3} 2.817612
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{txt}{space 35}850  {c |}{col 41}{res}{space 2} 1.082978{col 53}{space 2}  1.63931{col 64}{space 1}    0.66{col 73}{space 3}0.509{col 81}{space 4} -2.13001{col 94}{space 3} 4.295967
{txt}{space 35}900  {c |}{col 41}{res}{space 2}   1.2388{col 53}{space 2} .9864398{col 64}{space 1}    1.26{col 73}{space 3}0.209{col 81}{space 4}-.6945866{col 94}{space 3} 3.172186
{txt}{space 35}920  {c |}{col 41}{res}{space 2} .2878102{col 53}{space 2}  1.19272{col 64}{space 1}    0.24{col 73}{space 3}0.809{col 81}{space 4}-2.049877{col 94}{space 3} 2.625498
{txt}{space 35}950  {c |}{col 41}{res}{space 2} .5370202{col 53}{space 2}  1.85286{col 64}{space 1}    0.29{col 73}{space 3}0.772{col 81}{space 4} -3.09452{col 94}{space 3}  4.16856
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 6.461293{col 53}{space 2} 1.928456{col 64}{space 1}    3.35{col 73}{space 3}0.001{col 81}{space 4} 2.681589{col 94}{space 3}   10.241
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 1.352339{col 53}{space 2} .0621188{col 81}{space 4} 1.230588{col 94}{space 3} 1.474089
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 3.866457{col 53}{space 2} .2401796{col 81}{space 4} 3.423242{col 94}{space 3} 4.367056
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_max]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_max]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_max]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   12.02
{txt}{col 10}Prob > chi2 =  {res}  0.0073
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\Figure11A_data.dta", clear
{txt}
{com}. *This creates the rate graph (some manual aesthetic changes made for the manuscript)
. twoway line troop_change_rate polity2_newscale if polity2_newscale>2, graphregion(col(white)) yline(0) xtitle("Polity Score", size(medsmall)) ytitle("Average annual peacekeeping change based on SOLS change frequency", size(medsmall)) title("") xlabel(4 "-6" 5 "-5" 6 "-4" 7 "-3" 8"-2" 9 "-1" 10 "0" 11 "1" 12 "2" 13 "3" 14 "4" 15 "5" 16 "6" 17 "7" 18 "8" 19 "9" 20 "10")
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. use "C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_data.dta", clear
{txt}
{com}. 
. 
. *Model 17
. nbreg absch_troops_tot L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_tot_th L.absch_troops_tot authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -24596994}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -13339346}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-8201308.2}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6059666.2}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-3342350.9}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-3240004.3}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-3238184.6}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-3238183.8}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-3238183.8}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-23371.114}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-18493.561}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-18489.521}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-18489.518}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-18489.518}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-18174.061}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-17834.515}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-17789.959}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -17760.16}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-17760.001}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-17760.001}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(14)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-17760.001}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0395}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_tot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0183503{col 40}{space 2} .1330062{col 51}{space 1}   -0.14{col 60}{space 3}0.890{col 68}{space 4}-.2790377{col 81}{space 3} .2423371
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.1126294{col 40}{space 2} .1672844{col 51}{space 1}   -0.67{col 60}{space 3}0.501{col 68}{space 4}-.4405009{col 81}{space 3} .2152421
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1062392{col 40}{space 2} .2890767{col 51}{space 1}    0.37{col 60}{space 3}0.713{col 68}{space 4}-.4603407{col 81}{space 3} .6728191
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .011709{col 40}{space 2} .0475885{col 51}{space 1}    0.25{col 60}{space 3}0.806{col 68}{space 4}-.0815627{col 81}{space 3} .1049807
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-1.288906{col 40}{space 2} 4.402745{col 51}{space 1}   -0.29{col 60}{space 3}0.770{col 68}{space 4}-9.918129{col 81}{space 3} 7.340317
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3582134{col 40}{space 2} .2870684{col 51}{space 1}   -1.25{col 60}{space 3}0.212{col 68}{space 4}-.9208572{col 81}{space 3} .2044304
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-73.56994{col 40}{space 2} 46.89688{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-165.4861{col 81}{space 3} 18.34624
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0527154{col 40}{space 2} .0639348{col 51}{space 1}    0.82{col 60}{space 3}0.410{col 68}{space 4}-.0725946{col 81}{space 3} .1780253
{txt}{space 26} {c |}
{space 13}troops_tot_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0178041{col 40}{space 2} .0092255{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0002776{col 81}{space 3} .0358858
{txt}{space 26} {c |}
{space 10}absch_troops_tot {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0000369{col 40}{space 2} .0000146{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} 8.37e-06{col 81}{space 3} .0000655
{txt}{space 26} {c |}
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{txt}{space 22}616  {c |}{col 28}{res}{space 2} .7940598{col 40}{space 2} 2.588602{col 51}{space 1}    0.31{col 60}{space 3}0.759{col 68}{space 4}-4.279507{col 81}{space 3} 5.867626
{txt}{space 22}630  {c |}{col 28}{res}{space 2}-3.477974{col 40}{space 2} 2.507001{col 51}{space 1}   -1.39{col 60}{space 3}0.165{col 68}{space 4}-8.391607{col 81}{space 3} 1.435658
{txt}{space 22}640  {c |}{col 28}{res}{space 2} 1.370788{col 40}{space 2} 1.978882{col 51}{space 1}    0.69{col 60}{space 3}0.488{col 68}{space 4}-2.507749{col 81}{space 3} 5.249326
{txt}{space 22}651  {c |}{col 28}{res}{space 2} 2.462237{col 40}{space 2} 2.414981{col 51}{space 1}    1.02{col 60}{space 3}0.308{col 68}{space 4}-2.271039{col 81}{space 3} 7.195514
{txt}{space 22}663  {c |}{col 28}{res}{space 2} 2.393768{col 40}{space 2} 2.649768{col 51}{space 1}    0.90{col 60}{space 3}0.366{col 68}{space 4}-2.799682{col 81}{space 3} 7.587217
{txt}{space 22}670  {c |}{col 28}{res}{space 2}-2.342529{col 40}{space 2}  1.89982{col 51}{space 1}   -1.23{col 60}{space 3}0.218{col 68}{space 4}-6.066109{col 81}{space 3}  1.38105
{txt}{space 22}679  {c |}{col 28}{res}{space 2} -.438396{col 40}{space 2} 3.068421{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4}-6.452391{col 81}{space 3} 5.575599
{txt}{space 22}690  {c |}{col 28}{res}{space 2} -3.42789{col 40}{space 2} 1.403396{col 51}{space 1}   -2.44{col 60}{space 3}0.015{col 68}{space 4}-6.178496{col 81}{space 3}-.6772844
{txt}{space 22}694  {c |}{col 28}{res}{space 2} 2.266437{col 40}{space 2} 2.976921{col 51}{space 1}    0.76{col 60}{space 3}0.446{col 68}{space 4}-3.568221{col 81}{space 3} 8.101095
{txt}{space 22}696  {c |}{col 28}{res}{space 2}-.8253589{col 40}{space 2} 2.641049{col 51}{space 1}   -0.31{col 60}{space 3}0.755{col 68}{space 4} -6.00172{col 81}{space 3} 4.351003
{txt}{space 22}702  {c |}{col 28}{res}{space 2} -6.35986{col 40}{space 2} 3.110358{col 51}{space 1}   -2.04{col 60}{space 3}0.041{col 68}{space 4}-12.45605{col 81}{space 3}-.2636701
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-3.472681{col 40}{space 2} 2.962467{col 51}{space 1}   -1.17{col 60}{space 3}0.241{col 68}{space 4}-9.279009{col 81}{space 3} 2.333647
{txt}{space 22}705  {c |}{col 28}{res}{space 2}-.4847856{col 40}{space 2}  2.20443{col 51}{space 1}   -0.22{col 60}{space 3}0.826{col 68}{space 4} -4.80539{col 81}{space 3} 3.835819
{txt}{space 22}710  {c |}{col 28}{res}{space 2} .0863247{col 40}{space 2} 2.087433{col 51}{space 1}    0.04{col 60}{space 3}0.967{col 68}{space 4}-4.004968{col 81}{space 3} 4.177617
{txt}{space 22}712  {c |}{col 28}{res}{space 2} 2.010216{col 40}{space 2} 2.673367{col 51}{space 1}    0.75{col 60}{space 3}0.452{col 68}{space 4}-3.229487{col 81}{space 3} 7.249919
{txt}{space 22}732  {c |}{col 28}{res}{space 2} 1.094559{col 40}{space 2} 1.373823{col 51}{space 1}    0.80{col 60}{space 3}0.426{col 68}{space 4}-1.598084{col 81}{space 3} 3.787203
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.615061{col 40}{space 2} 1.325629{col 51}{space 1}    1.22{col 60}{space 3}0.223{col 68}{space 4} -.983124{col 81}{space 3} 4.213245
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 3.417752{col 40}{space 2} 2.399066{col 51}{space 1}    1.42{col 60}{space 3}0.154{col 68}{space 4} -1.28433{col 81}{space 3} 8.119834
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-2.158915{col 40}{space 2} 2.782174{col 51}{space 1}   -0.78{col 60}{space 3}0.438{col 68}{space 4}-7.611876{col 81}{space 3} 3.294047
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 2.708265{col 40}{space 2} 2.392886{col 51}{space 1}    1.13{col 60}{space 3}0.258{col 68}{space 4}-1.981705{col 81}{space 3} 7.398235
{txt}{space 22}771  {c |}{col 28}{res}{space 2} 2.331534{col 40}{space 2} 2.595107{col 51}{space 1}    0.90{col 60}{space 3}0.369{col 68}{space 4}-2.754783{col 81}{space 3}  7.41785
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-2.662434{col 40}{space 2} 2.828695{col 51}{space 1}   -0.94{col 60}{space 3}0.347{col 68}{space 4}-8.206574{col 81}{space 3} 2.881706
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 1.826505{col 40}{space 2} 2.575456{col 51}{space 1}    0.71{col 60}{space 3}0.478{col 68}{space 4}-3.221296{col 81}{space 3} 6.874305
{txt}{space 22}790  {c |}{col 28}{res}{space 2} 2.109513{col 40}{space 2} 2.764002{col 51}{space 1}    0.76{col 60}{space 3}0.445{col 68}{space 4}-3.307831{col 81}{space 3} 7.526856
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 2.099801{col 40}{space 2} 2.313148{col 51}{space 1}    0.91{col 60}{space 3}0.364{col 68}{space 4}-2.433885{col 81}{space 3} 6.633487
{txt}{space 22}811  {c |}{col 28}{res}{space 2} 1.405739{col 40}{space 2} 2.931049{col 51}{space 1}    0.48{col 60}{space 3}0.632{col 68}{space 4}-4.339011{col 81}{space 3} 7.150488
{txt}{space 22}816  {c |}{col 28}{res}{space 2}-2.279705{col 40}{space 2} 2.843573{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4}-7.853007{col 81}{space 3} 3.293596
{txt}{space 22}820  {c |}{col 28}{res}{space 2} 1.064262{col 40}{space 2} 2.098165{col 51}{space 1}    0.51{col 60}{space 3}0.612{col 68}{space 4}-3.048065{col 81}{space 3} 5.176589
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-.0696924{col 40}{space 2} 1.270832{col 51}{space 1}   -0.05{col 60}{space 3}0.956{col 68}{space 4}-2.560477{col 81}{space 3} 2.421092
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 2.251634{col 40}{space 2} 2.691086{col 51}{space 1}    0.84{col 60}{space 3}0.403{col 68}{space 4}-3.022798{col 81}{space 3} 7.526065
{txt}{space 22}850  {c |}{col 28}{res}{space 2}  1.57434{col 40}{space 2} 2.405403{col 51}{space 1}    0.65{col 60}{space 3}0.513{col 68}{space 4}-3.140162{col 81}{space 3} 6.288842
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 1.779915{col 40}{space 2} 1.279209{col 51}{space 1}    1.39{col 60}{space 3}0.164{col 68}{space 4}-.7272896{col 81}{space 3} 4.287119
{txt}{space 22}920  {c |}{col 28}{res}{space 2}  1.11141{col 40}{space 2} 1.607873{col 51}{space 1}    0.69{col 60}{space 3}0.489{col 68}{space 4}-2.039963{col 81}{space 3} 4.262783
{txt}{space 22}950  {c |}{col 28}{res}{space 2} 1.341003{col 40}{space 2} 2.668453{col 51}{space 1}    0.50{col 60}{space 3}0.615{col 68}{space 4}-3.889068{col 81}{space 3} 6.571074
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  7.64632{col 40}{space 2} 2.616631{col 51}{space 1}    2.92{col 60}{space 3}0.003{col 68}{space 4} 2.517817{col 81}{space 3} 12.77482
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.350465{col 40}{space 2} .0723354{col 68}{space 4}  1.20869{col 81}{space 3}  1.49224
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.859219{col 40}{space 2} .2791582{col 68}{space 4} 3.349094{col 81}{space 3} 4.447044
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 18
. nbreg absch_troops_tot L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_tot_th L.absch_troops_tot authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -24679842}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -13222100}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-8150365.3}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6002594.4}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-3331424.5}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-3231747.1}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-3229993.5}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-3229992.8}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-3229992.8}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-23371.114}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-18493.561}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-18489.521}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-18489.518}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-18489.518}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-18173.614}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-17819.126}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -17773.32}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-17755.114}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -17755.08}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -17755.08}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(16)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-17755.08}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0397}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_tot{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 1.873902{col 53}{space 2} .6820099{col 64}{space 1}    2.75{col 73}{space 3}0.006{col 81}{space 4} .5371874{col 94}{space 3} 3.210617
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0341174{col 53}{space 2} .0487485{col 64}{space 1}    0.70{col 73}{space 3}0.484{col 81}{space 4}-.0614279{col 94}{space 3} .1296627
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1064481{col 53}{space 2} .0388227{col 64}{space 1}   -2.74{col 73}{space 3}0.006{col 81}{space 4} -.182539{col 94}{space 3}-.0303571
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0150224{col 53}{space 2} .6037438{col 64}{space 1}   -0.02{col 73}{space 3}0.980{col 81}{space 4}-1.198338{col 94}{space 3} 1.168294
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0052925{col 53}{space 2} .0346943{col 64}{space 1}   -0.15{col 73}{space 3}0.879{col 81}{space 4}-.0732921{col 94}{space 3} .0627072
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0433881{col 53}{space 2} .3019034{col 64}{space 1}   -0.14{col 73}{space 3}0.886{col 81}{space 4}-.6351079{col 94}{space 3} .5483316
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-1.114573{col 53}{space 2} 4.381305{col 64}{space 1}   -0.25{col 73}{space 3}0.799{col 81}{space 4}-9.701774{col 94}{space 3} 7.472627
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3341211{col 53}{space 2} .2807276{col 64}{space 1}   -1.19{col 73}{space 3}0.234{col 81}{space 4}-.8843372{col 94}{space 3} .2160949
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-102.9462{col 53}{space 2} 43.35967{col 64}{space 1}   -2.37{col 73}{space 3}0.018{col 81}{space 4}-187.9296{col 94}{space 3}-17.96284
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0462433{col 53}{space 2} .0628657{col 64}{space 1}    0.74{col 73}{space 3}0.462{col 81}{space 4}-.0769713{col 94}{space 3} .1694578
{txt}{space 39} {c |}
{space 26}troops_tot_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0188064{col 53}{space 2}  .008919{col 64}{space 1}    2.11{col 73}{space 3}0.035{col 81}{space 4} .0013255{col 94}{space 3} .0362874
{txt}{space 39} {c |}
{space 23}absch_troops_tot {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0000395{col 53}{space 2} .0000146{col 64}{space 1}    2.71{col 73}{space 3}0.007{col 81}{space 4} .0000109{col 94}{space 3} .0000681
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2} .0125792{col 53}{space 2} .0044292{col 64}{space 1}    2.84{col 73}{space 3}0.005{col 81}{space 4} .0038982{col 94}{space 3} .0212603
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2} .0160748{col 53}{space 2} .0031194{col 64}{space 1}    5.15{col 73}{space 3}0.000{col 81}{space 4}  .009961{col 94}{space 3} .0221887
{txt}{space 35}yr_n {c |}{col 41}{res}{space 2}-.2647093{col 53}{space 2} .1554369{col 64}{space 1}   -1.70{col 73}{space 3}0.089{col 81}{space 4}-.5693601{col 94}{space 3} .0399415
{txt}{space 34}yr_n2 {c |}{col 41}{res}{space 2} .0001417{col 53}{space 2} .0099971{col 64}{space 1}    0.01{col 73}{space 3}0.989{col 81}{space 4}-.0194523{col 94}{space 3} .0197356
{txt}{space 34}yr_n3 {c |}{col 41}{res}{space 2} .0001642{col 53}{space 2} .0002072{col 64}{space 1}    0.79{col 73}{space 3}0.428{col 81}{space 4}-.0002419{col 94}{space 3} .0005704
{txt}{space 39} {c |}
{space 34}ccode {c |}
{space 36}20  {c |}{col 41}{res}{space 2} 1.032068{col 53}{space 2} 1.216572{col 64}{space 1}    0.85{col 73}{space 3}0.396{col 81}{space 4}-1.352369{col 94}{space 3} 3.416505
{txt}{space 36}42  {c |}{col 41}{res}{space 2}-3.325938{col 53}{space 2} 2.534396{col 64}{space 1}   -1.31{col 73}{space 3}0.189{col 81}{space 4}-8.293263{col 94}{space 3} 1.641386
{txt}{space 36}51  {c |}{col 41}{res}{space 2}-3.462149{col 53}{space 2} 2.348015{col 64}{space 1}   -1.47{col 73}{space 3}0.140{col 81}{space 4}-8.064175{col 94}{space 3} 1.139877
{txt}{space 36}52  {c |}{col 41}{res}{space 2}-3.578557{col 53}{space 2}  2.14194{col 64}{space 1}   -1.67{col 73}{space 3}0.095{col 81}{space 4}-7.776682{col 94}{space 3} .6195687
{txt}{space 36}70  {c |}{col 41}{res}{space 2}-1.751927{col 53}{space 2} 2.214761{col 64}{space 1}   -0.79{col 73}{space 3}0.429{col 81}{space 4}-6.092779{col 94}{space 3} 2.588925
{txt}{space 36}90  {c |}{col 41}{res}{space 2} .2861118{col 53}{space 2} 2.700601{col 64}{space 1}    0.11{col 73}{space 3}0.916{col 81}{space 4}-5.006968{col 94}{space 3} 5.579192
{txt}{space 36}91  {c |}{col 41}{res}{space 2}-1.417725{col 53}{space 2} 2.835336{col 64}{space 1}   -0.50{col 73}{space 3}0.617{col 81}{space 4}-6.974882{col 94}{space 3} 4.139432
{txt}{space 36}92  {c |}{col 41}{res}{space 2} .1670898{col 53}{space 2} 2.799247{col 64}{space 1}    0.06{col 73}{space 3}0.952{col 81}{space 4}-5.319333{col 94}{space 3} 5.653513
{txt}{space 35}100  {c |}{col 41}{res}{space 2}-5.017076{col 53}{space 2}   2.2585{col 64}{space 1}   -2.22{col 73}{space 3}0.026{col 81}{space 4}-9.443655{col 94}{space 3}-.5904963
{txt}{space 35}101  {c |}{col 41}{res}{space 2}-4.203116{col 53}{space 2} 2.158149{col 64}{space 1}   -1.95{col 73}{space 3}0.051{col 81}{space 4} -8.43301{col 94}{space 3} .0267776
{txt}{space 35}110  {c |}{col 41}{res}{space 2} -3.63889{col 53}{space 2} 2.442139{col 64}{space 1}   -1.49{col 73}{space 3}0.136{col 81}{space 4}-8.425395{col 94}{space 3} 1.147615
{txt}{space 35}130  {c |}{col 41}{res}{space 2}-1.125367{col 53}{space 2} 2.635523{col 64}{space 1}   -0.43{col 73}{space 3}0.669{col 81}{space 4}-6.290896{col 94}{space 3} 4.040163
{txt}{space 35}135  {c |}{col 41}{res}{space 2} .3916882{col 53}{space 2}  2.56876{col 64}{space 1}    0.15{col 73}{space 3}0.879{col 81}{space 4}-4.642989{col 94}{space 3} 5.426366
{txt}{space 35}140  {c |}{col 41}{res}{space 2} 1.681848{col 53}{space 2} 2.100855{col 64}{space 1}    0.80{col 73}{space 3}0.423{col 81}{space 4}-2.435751{col 94}{space 3} 5.799447
{txt}{space 35}145  {c |}{col 41}{res}{space 2} 1.023542{col 53}{space 2} 2.738353{col 64}{space 1}    0.37{col 73}{space 3}0.709{col 81}{space 4}-4.343531{col 94}{space 3} 6.390615
{txt}{space 35}150  {c |}{col 41}{res}{space 2} .1527976{col 53}{space 2} 2.637342{col 64}{space 1}    0.06{col 73}{space 3}0.954{col 81}{space 4}-5.016298{col 94}{space 3} 5.321894
{txt}{space 35}155  {c |}{col 41}{res}{space 2} .7725329{col 53}{space 2} 2.202878{col 64}{space 1}    0.35{col 73}{space 3}0.726{col 81}{space 4} -3.54503{col 94}{space 3} 5.090095
{txt}{space 35}160  {c |}{col 41}{res}{space 2}  1.21557{col 53}{space 2} 2.192837{col 64}{space 1}    0.55{col 73}{space 3}0.579{col 81}{space 4} -3.08231{col 94}{space 3} 5.513451
{txt}{space 35}165  {c |}{col 41}{res}{space 2} 1.984608{col 53}{space 2}  2.22087{col 64}{space 1}    0.89{col 73}{space 3}0.372{col 81}{space 4}-2.368219{col 94}{space 3} 6.337434
{txt}{space 35}200  {c |}{col 41}{res}{space 2} .7876666{col 53}{space 2} 1.262285{col 64}{space 1}    0.62{col 73}{space 3}0.533{col 81}{space 4}-1.686367{col 94}{space 3}   3.2617
{txt}{space 35}205  {c |}{col 41}{res}{space 2}  1.89322{col 53}{space 2} 1.123981{col 64}{space 1}    1.68{col 73}{space 3}0.092{col 81}{space 4}-.3097421{col 94}{space 3} 4.096183
{txt}{space 35}210  {c |}{col 41}{res}{space 2} 1.767155{col 53}{space 2}  1.18935{col 64}{space 1}    1.49{col 73}{space 3}0.137{col 81}{space 4}-.5639289{col 94}{space 3} 4.098239
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{txt}{space 35}820  {c |}{col 41}{res}{space 2} 1.193256{col 53}{space 2}  2.11209{col 64}{space 1}    0.56{col 73}{space 3}0.572{col 81}{space 4}-2.946365{col 94}{space 3} 5.332877
{txt}{space 35}830  {c |}{col 41}{res}{space 2}  .165143{col 53}{space 2} 1.281698{col 64}{space 1}    0.13{col 73}{space 3}0.897{col 81}{space 4}-2.346939{col 94}{space 3} 2.677225
{txt}{space 35}840  {c |}{col 41}{res}{space 2} 2.285393{col 53}{space 2}  2.65943{col 64}{space 1}    0.86{col 73}{space 3}0.390{col 81}{space 4}-2.926994{col 94}{space 3}  7.49778
{txt}{space 35}850  {c |}{col 41}{res}{space 2}  1.73925{col 53}{space 2} 2.402358{col 64}{space 1}    0.72{col 73}{space 3}0.469{col 81}{space 4}-2.969286{col 94}{space 3} 6.447785
{txt}{space 35}900  {c |}{col 41}{res}{space 2} 1.696624{col 53}{space 2} 1.275599{col 64}{space 1}    1.33{col 73}{space 3}0.183{col 81}{space 4}-.8035037{col 94}{space 3} 4.196751
{txt}{space 35}920  {c |}{col 41}{res}{space 2} 1.135217{col 53}{space 2} 1.606428{col 64}{space 1}    0.71{col 73}{space 3}0.480{col 81}{space 4}-2.013325{col 94}{space 3} 4.283759
{txt}{space 35}950  {c |}{col 41}{res}{space 2} 1.547933{col 53}{space 2} 2.693194{col 64}{space 1}    0.57{col 73}{space 3}0.565{col 81}{space 4}-3.730629{col 94}{space 3} 6.826496
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 7.337001{col 53}{space 2} 2.635659{col 64}{space 1}    2.78{col 73}{space 3}0.005{col 81}{space 4} 2.171205{col 94}{space 3}  12.5028
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 1.347452{col 53}{space 2} .0722177{col 81}{space 4} 1.205908{col 94}{space 3} 1.488996
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2}  3.84761{col 53}{space 2} .2778654{col 81}{space 4} 3.339791{col 94}{space 3} 4.432643
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *joint test of interaction
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_tot]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_tot]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_tot]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    7.82
{txt}{col 10}Prob > chi2 =  {res}  0.0500
{txt}
{com}. 
. 
. *MODEL 19
. nbreg absch_troops_mean L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_mean_th L.absch_troops_mean  authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2046077.3}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1176258.5}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-711649.06}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-542470.15}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-293591.27}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-284838.77}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-284682.39}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-284682.31}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-284682.31}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-16541.565}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12816.165}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -12811.94}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12811.936}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12811.936}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12506.986}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -12281.97}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12082.666}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12069.279}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12069.111}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -12069.11}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-12069.11}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0580}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}         absch_troops_mean{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0424125{col 40}{space 2} .1241361{col 51}{space 1}   -0.34{col 60}{space 3}0.733{col 68}{space 4}-.2857149{col 81}{space 3} .2008899
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.1365672{col 40}{space 2} .1616213{col 51}{space 1}   -0.84{col 60}{space 3}0.398{col 68}{space 4}-.4533391{col 81}{space 3} .1802047
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1417909{col 40}{space 2} .2745147{col 51}{space 1}    0.52{col 60}{space 3}0.605{col 68}{space 4}-.3962481{col 81}{space 3} .6798299
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0132494{col 40}{space 2} .0405923{col 51}{space 1}    0.33{col 60}{space 3}0.744{col 68}{space 4}-.0663102{col 81}{space 3} .0928089
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-1.380909{col 40}{space 2} 3.198434{col 51}{space 1}   -0.43{col 60}{space 3}0.666{col 68}{space 4}-7.649724{col 81}{space 3} 4.887906
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.3417907{col 40}{space 2} .2787124{col 51}{space 1}   -1.23{col 60}{space 3}0.220{col 68}{space 4} -.888057{col 81}{space 3} .2044756
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-52.90828{col 40}{space 2} 45.18513{col 51}{space 1}   -1.17{col 60}{space 3}0.242{col 68}{space 4}-141.4695{col 81}{space 3} 35.65294
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .067309{col 40}{space 2} .0592794{col 51}{space 1}    1.14{col 60}{space 3}0.256{col 68}{space 4}-.0488764{col 81}{space 3} .1834944
{txt}{space 26} {c |}
{space 12}troops_mean_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .2111509{col 40}{space 2} .1089438{col 51}{space 1}    1.94{col 60}{space 3}0.053{col 68}{space 4} -.002375{col 81}{space 3} .4246768
{txt}{space 26} {c |}
{space 9}absch_troops_mean {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0004162{col 40}{space 2} .0001621{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4} .0000984{col 81}{space 3} .0007339
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0113486{col 40}{space 2} .0040753{col 51}{space 1}    2.78{col 60}{space 3}0.005{col 68}{space 4} .0033612{col 81}{space 3}  .019336
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0140495{col 40}{space 2} .0032303{col 51}{space 1}    4.35{col 60}{space 3}0.000{col 68}{space 4} .0077183{col 81}{space 3} .0203808
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2}-.2386504{col 40}{space 2} .1314057{col 51}{space 1}   -1.82{col 60}{space 3}0.069{col 68}{space 4}-.4962008{col 81}{space 3} .0188999
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0011106{col 40}{space 2} .0091924{col 51}{space 1}    0.12{col 60}{space 3}0.904{col 68}{space 4}-.0169062{col 81}{space 3} .0191275
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0001131{col 40}{space 2} .0001946{col 51}{space 1}    0.58{col 60}{space 3}0.561{col 68}{space 4}-.0002683{col 81}{space 3} .0004944
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} 1.289308{col 40}{space 2} 1.065497{col 51}{space 1}    1.21{col 60}{space 3}0.226{col 68}{space 4}-.7990279{col 81}{space 3} 3.377645
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-3.020759{col 40}{space 2} 1.927326{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-6.798248{col 81}{space 3} .7567304
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-2.810198{col 40}{space 2}  1.82932{col 51}{space 1}   -1.54{col 60}{space 3}0.124{col 68}{space 4}  -6.3956{col 81}{space 3} .7752034
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-2.942277{col 40}{space 2}  1.64632{col 51}{space 1}   -1.79{col 60}{space 3}0.074{col 68}{space 4}-6.169005{col 81}{space 3} .2844511
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-1.601357{col 40}{space 2} 1.680444{col 51}{space 1}   -0.95{col 60}{space 3}0.341{col 68}{space 4}-4.894967{col 81}{space 3} 1.692252
{txt}{space 23}90  {c |}{col 28}{res}{space 2} .2418775{col 40}{space 2} 2.041556{col 51}{space 1}    0.12{col 60}{space 3}0.906{col 68}{space 4}-3.759499{col 81}{space 3} 4.243254
{txt}{space 23}91  {c |}{col 28}{res}{space 2} -1.23344{col 40}{space 2} 2.112107{col 51}{space 1}   -0.58{col 60}{space 3}0.559{col 68}{space 4}-5.373093{col 81}{space 3} 2.906213
{txt}{space 23}92  {c |}{col 28}{res}{space 2} .3253749{col 40}{space 2} 2.112047{col 51}{space 1}    0.15{col 60}{space 3}0.878{col 68}{space 4}-3.814162{col 81}{space 3} 4.464911
{txt}{space 22}100  {c |}{col 28}{res}{space 2}-4.626264{col 40}{space 2} 1.825633{col 51}{space 1}   -2.53{col 60}{space 3}0.011{col 68}{space 4}-8.204439{col 81}{space 3}-1.048089
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-3.781414{col 40}{space 2}  1.72086{col 51}{space 1}   -2.20{col 60}{space 3}0.028{col 68}{space 4}-7.154237{col 81}{space 3}-.4085907
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-3.179189{col 40}{space 2} 1.879748{col 51}{space 1}   -1.69{col 60}{space 3}0.091{col 68}{space 4}-6.863428{col 81}{space 3} .5050505
{txt}{space 22}130  {c |}{col 28}{res}{space 2}-1.147576{col 40}{space 2} 1.987965{col 51}{space 1}   -0.58{col 60}{space 3}0.564{col 68}{space 4}-5.043915{col 81}{space 3} 2.748763
{txt}{space 22}135  {c |}{col 28}{res}{space 2} .4069687{col 40}{space 2} 1.958366{col 51}{space 1}    0.21{col 60}{space 3}0.835{col 68}{space 4}-3.431358{col 81}{space 3} 4.245295
{txt}{space 22}140  {c |}{col 28}{res}{space 2} 1.626134{col 40}{space 2} 1.558965{col 51}{space 1}    1.04{col 60}{space 3}0.297{col 68}{space 4}-1.429382{col 81}{space 3} 4.681649
{txt}{space 22}145  {c |}{col 28}{res}{space 2}  .989482{col 40}{space 2} 2.068434{col 51}{space 1}    0.48{col 60}{space 3}0.632{col 68}{space 4}-3.064574{col 81}{space 3} 5.043538
{txt}{space 22}150  {c |}{col 28}{res}{space 2} .1588892{col 40}{space 2}  2.01089{col 51}{space 1}    0.08{col 60}{space 3}0.937{col 68}{space 4}-3.782383{col 81}{space 3} 4.100161
{txt}{space 22}155  {c |}{col 28}{res}{space 2} .8697694{col 40}{space 2} 1.695598{col 51}{space 1}    0.51{col 60}{space 3}0.608{col 68}{space 4}-2.453542{col 81}{space 3} 4.193081
{txt}{space 22}160  {c |}{col 28}{res}{space 2} 1.253602{col 40}{space 2} 1.681664{col 51}{space 1}    0.75{col 60}{space 3}0.456{col 68}{space 4}-2.042399{col 81}{space 3} 4.549603
{txt}{space 22}165  {c |}{col 28}{res}{space 2} 2.066433{col 40}{space 2} 1.711261{col 51}{space 1}    1.21{col 60}{space 3}0.227{col 68}{space 4}-1.287577{col 81}{space 3} 5.420443
{txt}{space 22}200  {c |}{col 28}{res}{space 2} 1.161453{col 40}{space 2} 1.047479{col 51}{space 1}    1.11{col 60}{space 3}0.268{col 68}{space 4}-.8915672{col 81}{space 3} 3.214474
{txt}{space 22}205  {c |}{col 28}{res}{space 2} 2.072397{col 40}{space 2} 1.033428{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0469157{col 81}{space 3} 4.097878
{txt}{space 22}210  {c |}{col 28}{res}{space 2} 1.962767{col 40}{space 2} 1.059528{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4}-.1138695{col 81}{space 3} 4.039403
{txt}{space 22}211  {c |}{col 28}{res}{space 2} 1.526536{col 40}{space 2} 1.156268{col 51}{space 1}    1.32{col 60}{space 3}0.187{col 68}{space 4}-.7397081{col 81}{space 3}  3.79278
{txt}{space 22}220  {c |}{col 28}{res}{space 2} 2.019055{col 40}{space 2} 1.018453{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4} .0229241{col 81}{space 3} 4.015186
{txt}{space 22}225  {c |}{col 28}{res}{space 2}-2.062025{col 40}{space 2}  .942484{col 51}{space 1}   -2.19{col 60}{space 3}0.029{col 68}{space 4}-3.909259{col 81}{space 3}-.2147901
{txt}{space 22}230  {c |}{col 28}{res}{space 2} 1.584084{col 40}{space 2} 1.233094{col 51}{space 1}    1.28{col 60}{space 3}0.199{col 68}{space 4}-.8327368{col 81}{space 3} 4.000904
{txt}{space 22}235  {c |}{col 28}{res}{space 2} 1.628681{col 40}{space 2} 1.411854{col 51}{space 1}    1.15{col 60}{space 3}0.249{col 68}{space 4}-1.138502{col 81}{space 3} 4.395864
{txt}{space 22}255  {c |}{col 28}{res}{space 2} 1.758528{col 40}{space 2} 1.043825{col 51}{space 1}    1.68{col 60}{space 3}0.092{col 68}{space 4}-.2873317{col 81}{space 3} 3.804388
{txt}{space 22}290  {c |}{col 28}{res}{space 2} 1.178885{col 40}{space 2} 1.596823{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4} -1.95083{col 81}{space 3}   4.3086
{txt}{space 22}305  {c |}{col 28}{res}{space 2} 1.336797{col 40}{space 2} 1.102666{col 51}{space 1}    1.21{col 60}{space 3}0.225{col 68}{space 4}-.8243886{col 81}{space 3} 3.497983
{txt}{space 22}310  {c |}{col 28}{res}{space 2}-1.037053{col 40}{space 2} 1.572843{col 51}{space 1}   -0.66{col 60}{space 3}0.510{col 68}{space 4}-4.119768{col 81}{space 3} 2.045663
{txt}{space 22}316  {c |}{col 28}{res}{space 2}-.7001668{col 40}{space 2} 1.342068{col 51}{space 1}   -0.52{col 60}{space 3}0.602{col 68}{space 4}-3.330572{col 81}{space 3} 1.930238
{txt}{space 22}317  {c |}{col 28}{res}{space 2} 1.123048{col 40}{space 2} 1.601191{col 51}{space 1}    0.70{col 60}{space 3}0.483{col 68}{space 4}-2.015229{col 81}{space 3} 4.261326
{txt}{space 22}325  {c |}{col 28}{res}{space 2}  2.11234{col 40}{space 2}  1.01696{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4}  .119136{col 81}{space 3} 4.105545
{txt}{space 22}339  {c |}{col 28}{res}{space 2}-.2363337{col 40}{space 2} 2.047858{col 51}{space 1}   -0.12{col 60}{space 3}0.908{col 68}{space 4}-4.250061{col 81}{space 3} 3.777393
{txt}{space 22}343  {c |}{col 28}{res}{space 2}-5.244096{col 40}{space 2}   1.9616{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4} -9.08876{col 81}{space 3}-1.399431
{txt}{space 22}344  {c |}{col 28}{res}{space 2} .2434919{col 40}{space 2} 1.675706{col 51}{space 1}    0.15{col 60}{space 3}0.884{col 68}{space 4}-3.040831{col 81}{space 3} 3.527815
{txt}{space 22}345  {c |}{col 28}{res}{space 2}-.0479184{col 40}{space 2} 1.901344{col 51}{space 1}   -0.03{col 60}{space 3}0.980{col 68}{space 4}-3.774484{col 81}{space 3} 3.678647
{txt}{space 22}349  {c |}{col 28}{res}{space 2}-1.469112{col 40}{space 2} 1.443611{col 51}{space 1}   -1.02{col 60}{space 3}0.309{col 68}{space 4}-4.298536{col 81}{space 3} 1.360313
{txt}{space 22}350  {c |}{col 28}{res}{space 2}  .430138{col 40}{space 2} 1.343427{col 51}{space 1}    0.32{col 60}{space 3}0.749{col 68}{space 4} -2.20293{col 81}{space 3} 3.063206
{txt}{space 22}352  {c |}{col 28}{res}{space 2}-4.295101{col 40}{space 2} 1.364907{col 51}{space 1}   -3.15{col 60}{space 3}0.002{col 68}{space 4}-6.970269{col 81}{space 3}-1.619932
{txt}{space 22}355  {c |}{col 28}{res}{space 2} -1.16989{col 40}{space 2} 1.646136{col 51}{space 1}   -0.71{col 60}{space 3}0.477{col 68}{space 4}-4.396258{col 81}{space 3} 2.056477
{txt}{space 22}359  {c |}{col 28}{res}{space 2}-4.249521{col 40}{space 2} 2.140388{col 51}{space 1}   -1.99{col 60}{space 3}0.047{col 68}{space 4}-8.444603{col 81}{space 3} -.054438
{txt}{space 22}360  {c |}{col 28}{res}{space 2}-.0598851{col 40}{space 2} 1.627336{col 51}{space 1}   -0.04{col 60}{space 3}0.971{col 68}{space 4}-3.249404{col 81}{space 3} 3.129634
{txt}{space 22}365  {c |}{col 28}{res}{space 2} .3516408{col 40}{space 2} 1.136815{col 51}{space 1}    0.31{col 60}{space 3}0.757{col 68}{space 4}-1.876476{col 81}{space 3} 2.579757
{txt}{space 22}366  {c |}{col 28}{res}{space 2}-.9354352{col 40}{space 2} 1.565206{col 51}{space 1}   -0.60{col 60}{space 3}0.550{col 68}{space 4}-4.003182{col 81}{space 3} 2.132312
{txt}{space 22}367  {c |}{col 28}{res}{space 2}-1.468435{col 40}{space 2} 1.569672{col 51}{space 1}   -0.94{col 60}{space 3}0.350{col 68}{space 4}-4.544935{col 81}{space 3} 1.608065
{txt}{space 22}368  {c |}{col 28}{res}{space 2}  -2.2791{col 40}{space 2} 1.507822{col 51}{space 1}   -1.51{col 60}{space 3}0.131{col 68}{space 4}-5.234378{col 81}{space 3} .6761769
{txt}{space 22}369  {c |}{col 28}{res}{space 2} 1.660088{col 40}{space 2} 1.812562{col 51}{space 1}    0.92{col 60}{space 3}0.360{col 68}{space 4}-1.892469{col 81}{space 3} 5.212644
{txt}{space 22}370  {c |}{col 28}{res}{space 2}-2.657356{col 40}{space 2} 1.847127{col 51}{space 1}   -1.44{col 60}{space 3}0.150{col 68}{space 4}-6.277658{col 81}{space 3} .9629455
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{txt}{space 22}950  {c |}{col 28}{res}{space 2} 1.334487{col 40}{space 2} 2.013672{col 51}{space 1}    0.66{col 60}{space 3}0.508{col 68}{space 4}-2.612238{col 81}{space 3} 5.281212
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 4.874767{col 40}{space 2} 2.007301{col 51}{space 1}    2.43{col 60}{space 3}0.015{col 68}{space 4} .9405289{col 81}{space 3} 8.809006
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.229568{col 40}{space 2} .0682601{col 68}{space 4} 1.095781{col 81}{space 3} 1.363355
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.419752{col 40}{space 2} .2334327{col 68}{space 4} 2.991517{col 81}{space 3} 3.909289
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 20
. nbreg absch_troops_mean L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_mean_th L.absch_troops_mean  authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2053046.2}  
Iteration 1:{space 2}Log pseudolikelihood = {res:  -1165925}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-707842.16}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-537932.38}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-292694.77}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-284153.31}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-284003.89}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-284003.82}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-284003.82}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-16541.565}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12816.165}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -12811.94}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12811.936}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12811.936}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12506.615}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -12444.92}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -12092.29}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12066.344}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12065.645}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12065.644}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-12065.644}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-12065.644}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0582}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                      absch_troops_mean{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 1.428853{col 53}{space 2} .5758065{col 64}{space 1}    2.48{col 73}{space 3}0.013{col 81}{space 4} .3002934{col 94}{space 3} 2.557413
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0288536{col 53}{space 2} .0424626{col 64}{space 1}    0.68{col 73}{space 3}0.497{col 81}{space 4}-.0543717{col 94}{space 3} .1120789
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0829654{col 53}{space 2} .0331253{col 64}{space 1}   -2.50{col 73}{space 3}0.012{col 81}{space 4}-.1478897{col 94}{space 3}-.0180411
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
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{txt}{space 35}580  {c |}{col 41}{res}{space 2}-24.30102{col 53}{space 2} 2.534806{col 64}{space 1}   -9.59{col 73}{space 3}0.000{col 81}{space 4}-29.26915{col 94}{space 3}-19.33289
{txt}{space 35}600  {c |}{col 41}{res}{space 2} 1.936765{col 53}{space 2}  2.02332{col 64}{space 1}    0.96{col 73}{space 3}0.338{col 81}{space 4} -2.02887{col 94}{space 3}   5.9024
{txt}{space 35}615  {c |}{col 41}{res}{space 2}-2.904085{col 53}{space 2}  1.75841{col 64}{space 1}   -1.65{col 73}{space 3}0.099{col 81}{space 4}-6.350506{col 94}{space 3} .5423353
{txt}{space 35}616  {c |}{col 41}{res}{space 2} 1.105681{col 53}{space 2} 1.948897{col 64}{space 1}    0.57{col 73}{space 3}0.570{col 81}{space 4}-2.714086{col 94}{space 3} 4.925449
{txt}{space 35}630  {c |}{col 41}{res}{space 2}-2.928484{col 53}{space 2} 1.916707{col 64}{space 1}   -1.53{col 73}{space 3}0.127{col 81}{space 4} -6.68516{col 94}{space 3} .8281914
{txt}{space 35}640  {c |}{col 41}{res}{space 2} 1.410977{col 53}{space 2}  1.52173{col 64}{space 1}    0.93{col 73}{space 3}0.354{col 81}{space 4}-1.571558{col 94}{space 3} 4.393513
{txt}{space 35}651  {c |}{col 41}{res}{space 2} 2.561593{col 53}{space 2} 1.780022{col 64}{space 1}    1.44{col 73}{space 3}0.150{col 81}{space 4}-.9271868{col 94}{space 3} 6.050372
{txt}{space 35}663  {c |}{col 41}{res}{space 2} 2.672637{col 53}{space 2} 1.971967{col 64}{space 1}    1.36{col 73}{space 3}0.175{col 81}{space 4}-1.192347{col 94}{space 3}  6.53762
{txt}{space 35}670  {c |}{col 41}{res}{space 2}-.4578424{col 53}{space 2} 1.483039{col 64}{space 1}   -0.31{col 73}{space 3}0.758{col 81}{space 4}-3.364546{col 94}{space 3} 2.448861
{txt}{space 35}679  {c |}{col 41}{res}{space 2}-.1787075{col 53}{space 2} 2.331657{col 64}{space 1}   -0.08{col 73}{space 3}0.939{col 81}{space 4}-4.748672{col 94}{space 3} 4.391257
{txt}{space 35}690  {c |}{col 41}{res}{space 2}-1.765612{col 53}{space 2} 1.102995{col 64}{space 1}   -1.60{col 73}{space 3}0.109{col 81}{space 4}-3.927442{col 94}{space 3} .3962185
{txt}{space 35}694  {c |}{col 41}{res}{space 2}   2.6435{col 53}{space 2} 2.228236{col 64}{space 1}    1.19{col 73}{space 3}0.235{col 81}{space 4}-1.723763{col 94}{space 3} 7.010762
{txt}{space 35}696  {c |}{col 41}{res}{space 2} .3089536{col 53}{space 2} 1.923994{col 64}{space 1}    0.16{col 73}{space 3}0.872{col 81}{space 4}-3.462006{col 94}{space 3} 4.079913
{txt}{space 35}702  {c |}{col 41}{res}{space 2}-24.21807{col 53}{space 2} 2.531603{col 64}{space 1}   -9.57{col 73}{space 3}0.000{col 81}{space 4}-29.17992{col 94}{space 3}-19.25622
{txt}{space 35}703  {c |}{col 41}{res}{space 2}-3.232692{col 53}{space 2} 2.210082{col 64}{space 1}   -1.46{col 73}{space 3}0.144{col 81}{space 4}-7.564374{col 94}{space 3}  1.09899
{txt}{space 35}705  {c |}{col 41}{res}{space 2} .1675947{col 53}{space 2} 1.687996{col 64}{space 1}    0.10{col 73}{space 3}0.921{col 81}{space 4}-3.140817{col 94}{space 3} 3.476006
{txt}{space 35}710  {c |}{col 41}{res}{space 2} .0423328{col 53}{space 2} 1.715351{col 64}{space 1}    0.02{col 73}{space 3}0.980{col 81}{space 4}-3.319694{col 94}{space 3} 3.404359
{txt}{space 35}712  {c |}{col 41}{res}{space 2} 2.033677{col 53}{space 2} 2.026987{col 64}{space 1}    1.00{col 73}{space 3}0.316{col 81}{space 4}-1.939145{col 94}{space 3} 6.006498
{txt}{space 35}732  {c |}{col 41}{res}{space 2}  1.07781{col 53}{space 2} 1.068211{col 64}{space 1}    1.01{col 73}{space 3}0.313{col 81}{space 4}-1.015845{col 94}{space 3} 3.171465
{txt}{space 35}740  {c |}{col 41}{res}{space 2} 1.698235{col 53}{space 2} 1.079457{col 64}{space 1}    1.57{col 73}{space 3}0.116{col 81}{space 4} -.417462{col 94}{space 3} 3.813932
{txt}{space 35}750  {c |}{col 41}{res}{space 2} 3.092664{col 53}{space 2} 2.047726{col 64}{space 1}    1.51{col 73}{space 3}0.131{col 81}{space 4}-.9208044{col 94}{space 3} 7.106133
{txt}{space 35}760  {c |}{col 41}{res}{space 2}-1.802659{col 53}{space 2} 2.074115{col 64}{space 1}   -0.87{col 73}{space 3}0.385{col 81}{space 4}-5.867851{col 94}{space 3} 2.262533
{txt}{space 35}770  {c |}{col 41}{res}{space 2} 2.412876{col 53}{space 2} 1.718009{col 64}{space 1}    1.40{col 73}{space 3}0.160{col 81}{space 4}-.9543594{col 94}{space 3} 5.780112
{txt}{space 35}771  {c |}{col 41}{res}{space 2} 2.378072{col 53}{space 2} 1.916212{col 64}{space 1}    1.24{col 73}{space 3}0.215{col 81}{space 4}-1.377635{col 94}{space 3} 6.133779
{txt}{space 35}775  {c |}{col 41}{res}{space 2}-2.438124{col 53}{space 2}  2.18027{col 64}{space 1}   -1.12{col 73}{space 3}0.263{col 81}{space 4}-6.711375{col 94}{space 3} 1.835128
{txt}{space 35}780  {c |}{col 41}{res}{space 2} 1.978284{col 53}{space 2} 1.918837{col 64}{space 1}    1.03{col 73}{space 3}0.303{col 81}{space 4}-1.782568{col 94}{space 3} 5.739136
{txt}{space 35}790  {c |}{col 41}{res}{space 2} 2.098476{col 53}{space 2}  2.03891{col 64}{space 1}    1.03{col 73}{space 3}0.303{col 81}{space 4}-1.897715{col 94}{space 3} 6.094667
{txt}{space 35}800  {c |}{col 41}{res}{space 2}  2.07683{col 53}{space 2} 1.746198{col 64}{space 1}    1.19{col 73}{space 3}0.234{col 81}{space 4}-1.345655{col 94}{space 3} 5.499315
{txt}{space 35}811  {c |}{col 41}{res}{space 2} 1.496362{col 53}{space 2}  2.18137{col 64}{space 1}    0.69{col 73}{space 3}0.493{col 81}{space 4}-2.779044{col 94}{space 3} 5.771768
{txt}{space 35}816  {c |}{col 41}{res}{space 2}-1.765679{col 53}{space 2} 2.114596{col 64}{space 1}   -0.83{col 73}{space 3}0.404{col 81}{space 4}-5.910212{col 94}{space 3} 2.378854
{txt}{space 35}820  {c |}{col 41}{res}{space 2} 1.155832{col 53}{space 2} 1.601215{col 64}{space 1}    0.72{col 73}{space 3}0.470{col 81}{space 4}-1.982492{col 94}{space 3} 4.294155
{txt}{space 35}830  {c |}{col 41}{res}{space 2} .2066991{col 53}{space 2}  1.05868{col 64}{space 1}    0.20{col 73}{space 3}0.845{col 81}{space 4}-1.868276{col 94}{space 3} 2.281674
{txt}{space 35}840  {c |}{col 41}{res}{space 2} 2.264521{col 53}{space 2} 2.138478{col 64}{space 1}    1.06{col 73}{space 3}0.290{col 81}{space 4}-1.926818{col 94}{space 3} 6.455861
{txt}{space 35}850  {c |}{col 41}{res}{space 2} 1.700572{col 53}{space 2} 1.780082{col 64}{space 1}    0.96{col 73}{space 3}0.339{col 81}{space 4}-1.788324{col 94}{space 3} 5.189468
{txt}{space 35}900  {c |}{col 41}{res}{space 2} 1.831323{col 53}{space 2} 1.088194{col 64}{space 1}    1.68{col 73}{space 3}0.092{col 81}{space 4}-.3014978{col 94}{space 3} 3.964144
{txt}{space 35}920  {c |}{col 41}{res}{space 2} 1.229404{col 53}{space 2} 1.305714{col 64}{space 1}    0.94{col 73}{space 3}0.346{col 81}{space 4}-1.329749{col 94}{space 3} 3.788557
{txt}{space 35}950  {c |}{col 41}{res}{space 2} 1.468377{col 53}{space 2} 2.011994{col 64}{space 1}    0.73{col 73}{space 3}0.466{col 81}{space 4}-2.475059{col 94}{space 3} 5.411813
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 4.676483{col 53}{space 2}  2.01401{col 64}{space 1}    2.32{col 73}{space 3}0.020{col 81}{space 4} .7290959{col 94}{space 3} 8.623871
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2}  1.22716{col 53}{space 2} .0682329{col 81}{space 4} 1.093425{col 94}{space 3} 1.360894
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 3.411525{col 53}{space 2} .2327783{col 81}{space 4}  2.98448{col 94}{space 3} 3.899676
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Joint test of interaction
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_mean]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_mean]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_mean]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    6.52
{txt}{col 10}Prob > chi2 =  {res}  0.0887
{txt}
{com}. 
. 
. *Model 21
. nbreg absch_troops_december L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_dec_th L.absch_troops_december authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2164444.5}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1608872.2}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1011883.7}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -457126.3}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-416016.88}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-412317.69}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-412226.08}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-412225.78}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-412225.78}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-412225.77}  
Iteration 10:{space 1}Log pseudolikelihood = {res:-412225.77}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17239.781}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12312.676}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12309.067}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12309.064}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12309.064}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12047.284}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11813.853}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res: -11662.21}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11642.979}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11642.587}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11642.586}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11642.586}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0541}

{txt}{ralign 92:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}     absch_troops_december{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0817132{col 40}{space 2}  .144127{col 51}{space 1}   -0.57{col 60}{space 3}0.571{col 68}{space 4}-.3641968{col 81}{space 3} .2007705
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0112666{col 40}{space 2} .1900365{col 51}{space 1}   -0.06{col 60}{space 3}0.953{col 68}{space 4}-.3837314{col 81}{space 3} .3611981
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1326953{col 40}{space 2}  .305765{col 51}{space 1}    0.43{col 60}{space 3}0.664{col 68}{space 4} -.466593{col 81}{space 3} .7319837
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0029915{col 40}{space 2} .0475016{col 51}{space 1}    0.06{col 60}{space 3}0.950{col 68}{space 4}-.0901099{col 81}{space 3} .0960928
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} -.488257{col 40}{space 2} 3.771083{col 51}{space 1}   -0.13{col 60}{space 3}0.897{col 68}{space 4}-7.879444{col 81}{space 3}  6.90293
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.2581333{col 40}{space 2} .2218898{col 51}{space 1}   -1.16{col 60}{space 3}0.245{col 68}{space 4}-.6930292{col 81}{space 3} .1767627
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-123.6362{col 40}{space 2} 46.99406{col 51}{space 1}   -2.63{col 60}{space 3}0.009{col 68}{space 4}-215.7429{col 81}{space 3}-31.52957
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}  .043501{col 40}{space 2} .0546049{col 51}{space 1}    0.80{col 60}{space 3}0.426{col 68}{space 4}-.0635226{col 81}{space 3} .1505245
{txt}{space 26} {c |}
{space 13}troops_dec_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .2405123{col 40}{space 2} .1220144{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .0013684{col 81}{space 3} .4796561
{txt}{space 26} {c |}
{space 5}absch_troops_december {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0000734{col 40}{space 2} .0001461{col 51}{space 1}   -0.50{col 60}{space 3}0.616{col 68}{space 4}-.0003597{col 81}{space 3}  .000213
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0102401{col 40}{space 2} .0034599{col 51}{space 1}    2.96{col 60}{space 3}0.003{col 68}{space 4} .0034588{col 81}{space 3} .0170214
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0148959{col 40}{space 2} .0045215{col 51}{space 1}    3.29{col 60}{space 3}0.001{col 68}{space 4} .0060339{col 81}{space 3} .0237579
{txt}{space 22}yr_n {c |}{col 28}{res}{space 2} -.092486{col 40}{space 2} .1370814{col 51}{space 1}   -0.67{col 60}{space 3}0.500{col 68}{space 4}-.3611606{col 81}{space 3} .1761886
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2}-.0145191{col 40}{space 2} .0088774{col 51}{space 1}   -1.64{col 60}{space 3}0.102{col 68}{space 4}-.0319184{col 81}{space 3} .0028803
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0005209{col 40}{space 2} .0001769{col 51}{space 1}    2.94{col 60}{space 3}0.003{col 68}{space 4} .0001742{col 81}{space 3} .0008677
{txt}{space 26} {c |}
{space 21}ccode {c |}
{space 23}20  {c |}{col 28}{res}{space 2} 1.068052{col 40}{space 2} 1.062394{col 51}{space 1}    1.01{col 60}{space 3}0.315{col 68}{space 4}-1.014202{col 81}{space 3} 3.150306
{txt}{space 23}42  {c |}{col 28}{res}{space 2}-3.345883{col 40}{space 2} 2.125255{col 51}{space 1}   -1.57{col 60}{space 3}0.115{col 68}{space 4}-7.511307{col 81}{space 3} .8195408
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-3.431592{col 40}{space 2} 1.990905{col 51}{space 1}   -1.72{col 60}{space 3}0.085{col 68}{space 4}-7.333694{col 81}{space 3} .4705096
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-3.345041{col 40}{space 2}   1.7571{col 51}{space 1}   -1.90{col 60}{space 3}0.057{col 68}{space 4}-6.788895{col 81}{space 3} .0988117
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-1.993456{col 40}{space 2} 1.869909{col 51}{space 1}   -1.07{col 60}{space 3}0.286{col 68}{space 4} -5.65841{col 81}{space 3} 1.671499
{txt}{space 23}90  {c |}{col 28}{res}{space 2} .2699524{col 40}{space 2} 2.277146{col 51}{space 1}    0.12{col 60}{space 3}0.906{col 68}{space 4}-4.193172{col 81}{space 3} 4.733077
{txt}{space 23}91  {c |}{col 28}{res}{space 2}-1.510713{col 40}{space 2} 2.321409{col 51}{space 1}   -0.65{col 60}{space 3}0.515{col 68}{space 4}-6.060591{col 81}{space 3} 3.039166
{txt}{space 23}92  {c |}{col 28}{res}{space 2}  .259166{col 40}{space 2} 2.351915{col 51}{space 1}    0.11{col 60}{space 3}0.912{col 68}{space 4}-4.350503{col 81}{space 3} 4.868835
{txt}{space 22}100  {c |}{col 28}{res}{space 2}-4.804318{col 40}{space 2} 1.874832{col 51}{space 1}   -2.56{col 60}{space 3}0.010{col 68}{space 4} -8.47892{col 81}{space 3}-1.129716
{txt}{space 22}101  {c |}{col 28}{res}{space 2}-4.744546{col 40}{space 2} 1.840637{col 51}{space 1}   -2.58{col 60}{space 3}0.010{col 68}{space 4}-8.352128{col 81}{space 3}-1.136964
{txt}{space 22}110  {c |}{col 28}{res}{space 2}-3.309954{col 40}{space 2} 2.050458{col 51}{space 1}   -1.61{col 60}{space 3}0.106{col 68}{space 4}-7.328779{col 81}{space 3}   .70887
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{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.171822{col 40}{space 2} 1.111893{col 51}{space 1}    1.05{col 60}{space 3}0.292{col 68}{space 4}-1.007447{col 81}{space 3} 3.351091
{txt}{space 22}750  {c |}{col 28}{res}{space 2}  3.25435{col 40}{space 2} 1.852766{col 51}{space 1}    1.76{col 60}{space 3}0.079{col 68}{space 4}-.3770049{col 81}{space 3} 6.885704
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-1.967511{col 40}{space 2} 2.350078{col 51}{space 1}   -0.84{col 60}{space 3}0.402{col 68}{space 4}-6.573578{col 81}{space 3} 2.638557
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 3.587455{col 40}{space 2}  2.16353{col 51}{space 1}    1.66{col 60}{space 3}0.097{col 68}{space 4}-.6529861{col 81}{space 3} 7.827896
{txt}{space 22}771  {c |}{col 28}{res}{space 2}  2.76813{col 40}{space 2} 2.198987{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-1.541805{col 81}{space 3} 7.078064
{txt}{space 22}775  {c |}{col 28}{res}{space 2}-3.048369{col 40}{space 2} 2.362362{col 51}{space 1}   -1.29{col 60}{space 3}0.197{col 68}{space 4}-7.678513{col 81}{space 3} 1.581776
{txt}{space 22}780  {c |}{col 28}{res}{space 2} 1.819619{col 40}{space 2} 2.151555{col 51}{space 1}    0.85{col 60}{space 3}0.398{col 68}{space 4}-2.397353{col 81}{space 3}  6.03659
{txt}{space 22}790  {c |}{col 28}{res}{space 2} 2.742537{col 40}{space 2} 2.358932{col 51}{space 1}    1.16{col 60}{space 3}0.245{col 68}{space 4}-1.880884{col 81}{space 3} 7.365959
{txt}{space 22}800  {c |}{col 28}{res}{space 2} 2.358923{col 40}{space 2} 1.961508{col 51}{space 1}    1.20{col 60}{space 3}0.229{col 68}{space 4}-1.485562{col 81}{space 3} 6.203407
{txt}{space 22}811  {c |}{col 28}{res}{space 2} 1.685887{col 40}{space 2} 2.463061{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-3.141625{col 81}{space 3} 6.513398
{txt}{space 22}816  {c |}{col 28}{res}{space 2}-3.029742{col 40}{space 2} 2.425139{col 51}{space 1}   -1.25{col 60}{space 3}0.212{col 68}{space 4}-7.782926{col 81}{space 3} 1.723443
{txt}{space 22}820  {c |}{col 28}{res}{space 2} 1.207391{col 40}{space 2} 1.761675{col 51}{space 1}    0.69{col 60}{space 3}0.493{col 68}{space 4}-2.245428{col 81}{space 3}  4.66021
{txt}{space 22}830  {c |}{col 28}{res}{space 2}-.0406629{col 40}{space 2} 1.164068{col 51}{space 1}   -0.03{col 60}{space 3}0.972{col 68}{space 4}-2.322194{col 81}{space 3} 2.240868
{txt}{space 22}840  {c |}{col 28}{res}{space 2} 2.179711{col 40}{space 2} 2.228669{col 51}{space 1}    0.98{col 60}{space 3}0.328{col 68}{space 4}  -2.1884{col 81}{space 3} 6.547823
{txt}{space 22}850  {c |}{col 28}{res}{space 2} 2.093332{col 40}{space 2} 2.026932{col 51}{space 1}    1.03{col 60}{space 3}0.302{col 68}{space 4}-1.879382{col 81}{space 3} 6.066045
{txt}{space 22}900  {c |}{col 28}{res}{space 2} 1.606592{col 40}{space 2} 1.133627{col 51}{space 1}    1.42{col 60}{space 3}0.156{col 68}{space 4}-.6152761{col 81}{space 3} 3.828461
{txt}{space 22}920  {c |}{col 28}{res}{space 2} .7507726{col 40}{space 2} 1.383689{col 51}{space 1}    0.54{col 60}{space 3}0.587{col 68}{space 4}-1.961207{col 81}{space 3} 3.462753
{txt}{space 22}950  {c |}{col 28}{res}{space 2}  1.67748{col 40}{space 2} 2.267869{col 51}{space 1}    0.74{col 60}{space 3}0.459{col 68}{space 4}-2.767463{col 81}{space 3} 6.122422
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 5.082827{col 40}{space 2} 2.259257{col 51}{space 1}    2.25{col 60}{space 3}0.024{col 68}{space 4} .6547651{col 81}{space 3} 9.510889
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  1.48331{col 40}{space 2} .0646219{col 68}{space 4} 1.356653{col 81}{space 3} 1.609966
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  4.40751{col 40}{space 2} .2848215{col 68}{space 4} 3.883176{col 81}{space 3} 5.002643
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 22
. nbreg absch_troops_december L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.milper_hth L.troops_dec_th L.absch_troops_december authtroop_th authtroop_change_absval_th yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2167314.5}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1646458.8}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1622636.1}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -483910.6}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-431696.75}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -410939.6}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-410832.74}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-410832.69}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-410832.69}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-17239.781}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-12312.676}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12309.067}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12309.064}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12309.064}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-12049.158}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11706.596}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res: -11655.15}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11636.968}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11636.915}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11636.915}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,753}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11636.915}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0546}

{txt}{ralign 105:(Std. err. adjusted for {res:128} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                  absch_troops_december{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 1.958092{col 53}{space 2} .6224465{col 64}{space 1}    3.15{col 73}{space 3}0.002{col 81}{space 4} .7381196{col 94}{space 3} 3.178065
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0193685{col 53}{space 2} .0475715{col 64}{space 1}    0.41{col 73}{space 3}0.684{col 81}{space 4}-.0738698{col 94}{space 3} .1126069
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} -.115038{col 53}{space 2} .0367318{col 64}{space 1}   -3.13{col 73}{space 3}0.002{col 81}{space 4}-.1870309{col 94}{space 3}-.0430451
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.6232369{col 53}{space 2}  .795512{col 64}{space 1}   -0.78{col 73}{space 3}0.433{col 81}{space 4}-2.182412{col 94}{space 3} .9359379
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0364292{col 53}{space 2} .0445359{col 64}{space 1}    0.82{col 73}{space 3}0.413{col 81}{space 4}-.0508596{col 94}{space 3}  .123718
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0576055{col 53}{space 2} .2829062{col 64}{space 1}   -0.20{col 73}{space 3}0.839{col 81}{space 4}-.6120914{col 94}{space 3} .4968804
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.5889193{col 53}{space 2} 3.800972{col 64}{space 1}   -0.15{col 73}{space 3}0.877{col 81}{space 4}-8.038687{col 94}{space 3} 6.860848
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.2272934{col 53}{space 2} .2048254{col 64}{space 1}   -1.11{col 73}{space 3}0.267{col 81}{space 4}-.6287439{col 94}{space 3} .1741571
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-141.5849{col 53}{space 2} 42.97134{col 64}{space 1}   -3.29{col 73}{space 3}0.001{col 81}{space 4}-225.8071{col 94}{space 3}-57.36259
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}  .040778{col 53}{space 2} .0519526{col 64}{space 1}    0.78{col 73}{space 3}0.433{col 81}{space 4}-.0610471{col 94}{space 3} .1426032
{txt}{space 39} {c |}
{space 26}troops_dec_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .2628587{col 53}{space 2} .1115274{col 64}{space 1}    2.36{col 73}{space 3}0.018{col 81}{space 4} .0442689{col 94}{space 3} .4814484
{txt}{space 39} {c |}
{space 18}absch_troops_december {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0000899{col 53}{space 2} .0001438{col 64}{space 1}   -0.63{col 73}{space 3}0.532{col 81}{space 4}-.0003716{col 94}{space 3} .0001919
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2} .0099159{col 53}{space 2} .0032762{col 64}{space 1}    3.03{col 73}{space 3}0.002{col 81}{space 4} .0034947{col 94}{space 3} .0163371
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2}  .014435{col 53}{space 2} .0045334{col 64}{space 1}    3.18{col 73}{space 3}0.001{col 81}{space 4} .0055497{col 94}{space 3} .0233204
{txt}{space 35}yr_n {c |}{col 41}{res}{space 2} -.102446{col 53}{space 2} .1304353{col 64}{space 1}   -0.79{col 73}{space 3}0.432{col 81}{space 4}-.3580945{col 94}{space 3} .1532024
{txt}{space 34}yr_n2 {c |}{col 41}{res}{space 2}-.0140793{col 53}{space 2} .0084377{col 64}{space 1}   -1.67{col 73}{space 3}0.095{col 81}{space 4} -.030617{col 94}{space 3} .0024583
{txt}{space 34}yr_n3 {c |}{col 41}{res}{space 2}  .000515{col 53}{space 2} .0001683{col 64}{space 1}    3.06{col 73}{space 3}0.002{col 81}{space 4} .0001851{col 94}{space 3} .0008449
{txt}{space 39} {c |}
{space 34}ccode {c |}
{space 36}20  {c |}{col 41}{res}{space 2}  .963958{col 53}{space 2} 1.043969{col 64}{space 1}    0.92{col 73}{space 3}0.356{col 81}{space 4}-1.082184{col 94}{space 3}   3.0101
{txt}{space 36}42  {c |}{col 41}{res}{space 2}-3.463289{col 53}{space 2} 2.136602{col 64}{space 1}   -1.62{col 73}{space 3}0.105{col 81}{space 4}-7.650952{col 94}{space 3} .7243737
{txt}{space 36}51  {c |}{col 41}{res}{space 2}-3.548332{col 53}{space 2} 2.006869{col 64}{space 1}   -1.77{col 73}{space 3}0.077{col 81}{space 4}-7.481723{col 94}{space 3} .3850579
{txt}{space 36}52  {c |}{col 41}{res}{space 2} -3.37657{col 53}{space 2} 1.764885{col 64}{space 1}   -1.91{col 73}{space 3}0.056{col 81}{space 4} -6.83568{col 94}{space 3} .0825409
{txt}{space 36}70  {c |}{col 41}{res}{space 2}-2.065009{col 53}{space 2} 1.878108{col 64}{space 1}   -1.10{col 73}{space 3}0.272{col 81}{space 4}-5.746034{col 94}{space 3} 1.616016
{txt}{space 36}90  {c |}{col 41}{res}{space 2} .2210257{col 53}{space 2} 2.281836{col 64}{space 1}    0.10{col 73}{space 3}0.923{col 81}{space 4}-4.251291{col 94}{space 3} 4.693342
{txt}{space 36}91  {c |}{col 41}{res}{space 2}-1.632311{col 53}{space 2} 2.349831{col 64}{space 1}   -0.69{col 73}{space 3}0.487{col 81}{space 4}-6.237894{col 94}{space 3} 2.973273
{txt}{space 36}92  {c |}{col 41}{res}{space 2} .1585328{col 53}{space 2} 2.365261{col 64}{space 1}    0.07{col 73}{space 3}0.947{col 81}{space 4}-4.477293{col 94}{space 3} 4.794358
{txt}{space 35}100  {c |}{col 41}{res}{space 2} -5.00752{col 53}{space 2} 1.873311{col 64}{space 1}   -2.67{col 73}{space 3}0.008{col 81}{space 4}-8.679142{col 94}{space 3}-1.335898
{txt}{space 35}101  {c |}{col 41}{res}{space 2}-4.844139{col 53}{space 2} 1.858241{col 64}{space 1}   -2.61{col 73}{space 3}0.009{col 81}{space 4}-8.486224{col 94}{space 3}-1.202053
{txt}{space 35}110  {c |}{col 41}{res}{space 2}-3.378823{col 53}{space 2} 2.063236{col 64}{space 1}   -1.64{col 73}{space 3}0.101{col 81}{space 4}-7.422691{col 94}{space 3} .6650443
{txt}{space 35}130  {c |}{col 41}{res}{space 2}-1.519044{col 53}{space 2} 2.225615{col 64}{space 1}   -0.68{col 73}{space 3}0.495{col 81}{space 4}-5.881168{col 94}{space 3} 2.843081
{txt}{space 35}135  {c |}{col 41}{res}{space 2} .4545028{col 53}{space 2} 2.160228{col 64}{space 1}    0.21{col 73}{space 3}0.833{col 81}{space 4}-3.779466{col 94}{space 3} 4.688472
{txt}{space 35}140  {c |}{col 41}{res}{space 2}  1.68486{col 53}{space 2} 1.788572{col 64}{space 1}    0.94{col 73}{space 3}0.346{col 81}{space 4}-1.820677{col 94}{space 3} 5.190397
{txt}{space 35}145  {c |}{col 41}{res}{space 2} .7631665{col 53}{space 2} 2.326941{col 64}{space 1}    0.33{col 73}{space 3}0.743{col 81}{space 4}-3.797554{col 94}{space 3} 5.323887
{txt}{space 35}150  {c |}{col 41}{res}{space 2} .0656234{col 53}{space 2} 2.231722{col 64}{space 1}    0.03{col 73}{space 3}0.977{col 81}{space 4}-4.308471{col 94}{space 3} 4.439717
{txt}{space 35}155  {c |}{col 41}{res}{space 2} .3432192{col 53}{space 2} 1.881167{col 64}{space 1}    0.18{col 73}{space 3}0.855{col 81}{space 4}  -3.3438{col 94}{space 3} 4.030238
{txt}{space 35}160  {c |}{col 41}{res}{space 2}   1.1345{col 53}{space 2}  1.85428{col 64}{space 1}    0.61{col 73}{space 3}0.541{col 81}{space 4}-2.499821{col 94}{space 3} 4.768821
{txt}{space 35}165  {c |}{col 41}{res}{space 2} 1.773885{col 53}{space 2} 1.896385{col 64}{space 1}    0.94{col 73}{space 3}0.350{col 81}{space 4}-1.942961{col 94}{space 3} 5.490731
{txt}{space 35}200  {c |}{col 41}{res}{space 2} .8523636{col 53}{space 2} 1.075675{col 64}{space 1}    0.79{col 73}{space 3}0.428{col 81}{space 4} -1.25592{col 94}{space 3} 2.960647
{txt}{space 35}205  {c |}{col 41}{res}{space 2} 1.924563{col 53}{space 2} .9966746{col 64}{space 1}    1.93{col 73}{space 3}0.053{col 81}{space 4}-.0288833{col 94}{space 3} 3.878009
{txt}{space 35}210  {c |}{col 41}{res}{space 2} 1.856646{col 53}{space 2} 1.031602{col 64}{space 1}    1.80{col 73}{space 3}0.072{col 81}{space 4}-.1652573{col 94}{space 3}  3.87855
{txt}{space 35}211  {c |}{col 41}{res}{space 2} .9788873{col 53}{space 2} 1.184319{col 64}{space 1}    0.83{col 73}{space 3}0.408{col 81}{space 4}-1.342335{col 94}{space 3}  3.30011
{txt}{space 35}220  {c |}{col 41}{res}{space 2} 2.003297{col 53}{space 2}  1.07575{col 64}{space 1}    1.86{col 73}{space 3}0.063{col 81}{space 4}-.1051339{col 94}{space 3} 4.111728
{txt}{space 35}225  {c |}{col 41}{res}{space 2}-3.068602{col 53}{space 2} .8584298{col 64}{space 1}   -3.57{col 73}{space 3}0.000{col 81}{space 4}-4.751093{col 94}{space 3}-1.386111
{txt}{space 35}230  {c |}{col 41}{res}{space 2} 1.815762{col 53}{space 2} 1.306914{col 64}{space 1}    1.39{col 73}{space 3}0.165{col 81}{space 4}-.7457424{col 94}{space 3} 4.377267
{txt}{space 35}235  {c |}{col 41}{res}{space 2} 1.201563{col 53}{space 2}  1.50851{col 64}{space 1}    0.80{col 73}{space 3}0.426{col 81}{space 4}-1.755062{col 94}{space 3} 4.158188
{txt}{space 35}255  {c |}{col 41}{res}{space 2} 1.829834{col 53}{space 2} 1.076742{col 64}{space 1}    1.70{col 73}{space 3}0.089{col 81}{space 4}-.2805409{col 94}{space 3} 3.940209
{txt}{space 35}290  {c |}{col 41}{res}{space 2}  1.28553{col 53}{space 2} 1.762083{col 64}{space 1}    0.73{col 73}{space 3}0.466{col 81}{space 4}-2.168089{col 94}{space 3} 4.739149
{txt}{space 35}305  {c |}{col 41}{res}{space 2} .7083913{col 53}{space 2} 1.078821{col 64}{space 1}    0.66{col 73}{space 3}0.511{col 81}{space 4} -1.40606{col 94}{space 3} 2.822842
{txt}{space 35}310  {c |}{col 41}{res}{space 2}-1.335509{col 53}{space 2} 1.690573{col 64}{space 1}   -0.79{col 73}{space 3}0.430{col 81}{space 4} -4.64897{col 94}{space 3} 1.977953
{txt}{space 35}316  {c |}{col 41}{res}{space 2}-1.273176{col 53}{space 2} 1.371308{col 64}{space 1}   -0.93{col 73}{space 3}0.353{col 81}{space 4}-3.960889{col 94}{space 3} 1.414538
{txt}{space 35}317  {c |}{col 41}{res}{space 2} .8836505{col 53}{space 2} 1.733122{col 64}{space 1}    0.51{col 73}{space 3}0.610{col 81}{space 4}-2.513206{col 94}{space 3} 4.280507
{txt}{space 35}325  {c |}{col 41}{res}{space 2} 2.202783{col 53}{space 2} 1.082841{col 64}{space 1}    2.03{col 73}{space 3}0.042{col 81}{space 4} .0804534{col 94}{space 3} 4.325113
{txt}{space 35}339  {c |}{col 41}{res}{space 2}-.3055387{col 53}{space 2}  2.25558{col 64}{space 1}   -0.14{col 73}{space 3}0.892{col 81}{space 4}-4.726393{col 94}{space 3} 4.115316
{txt}{space 35}343  {c |}{col 41}{res}{space 2}-4.952921{col 53}{space 2} 2.132579{col 64}{space 1}   -2.32{col 73}{space 3}0.020{col 81}{space 4}-9.132699{col 94}{space 3}-.7731424
{txt}{space 35}344  {c |}{col 41}{res}{space 2}-.1327724{col 53}{space 2} 1.808284{col 64}{space 1}   -0.07{col 73}{space 3}0.941{col 81}{space 4}-3.676943{col 94}{space 3} 3.411398
{txt}{space 35}345  {c |}{col 41}{res}{space 2} .0720223{col 53}{space 2}  2.07092{col 64}{space 1}    0.03{col 73}{space 3}0.972{col 81}{space 4}-3.986906{col 94}{space 3} 4.130951
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{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 5.000616{col 53}{space 2} 2.272746{col 64}{space 1}    2.20{col 73}{space 3}0.028{col 81}{space 4} .5461169{col 94}{space 3} 9.455116
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2}  1.47922{col 53}{space 2} .0647469{col 81}{space 4} 1.352318{col 94}{space 3} 1.606121
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                  alpha {c |}{col 41}{res}{space 2} 4.389519{col 53}{space 2} .2842078{col 81}{space 4} 3.866377{col 94}{space 3} 4.983444
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Joint test of interaction
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_december]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_december]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_december]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   10.31
{txt}{col 10}Prob > chi2 =  {res}  0.0161
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\oestman\AppData\Local\Temp\STD2150_000000.tmp"
{txt}
{com}. ********************************************************************
. 
. *Model 24
. nbreg absch_troops_max L.solsch_2yrs L.otherldrtrns_2yrs L.regtrans_2yrs L.polity2_newscale L.gdppc_hth L.prev_conflict L.couprisk L.troops_th  L.milper_hth L.absch_troops_max authtroop_th authtroop_change_absval_th L.troop_deaths yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3796239.1}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2422029.2}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-1463704.8}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-1164184.3}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-467160.83}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-376466.93}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-371218.97}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-371131.19}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-371131.17}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-15550.288}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11675.852}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11675.637}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11675.637}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11410.342}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11126.597}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11101.076}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11099.619}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11099.613}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11099.613}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,498}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11099.613}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0493}

{txt}{ralign 92:(Std. err. adjusted for {res:126} clusters in {res:ccode})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          absch_troops_max{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}solsch_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0799402{col 40}{space 2} .1467866{col 51}{space 1}    0.54{col 60}{space 3}0.586{col 68}{space 4}-.2077563{col 81}{space 3} .3676367
{txt}{space 26} {c |}
{space 9}otherldrtrns_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0713964{col 40}{space 2} .1786524{col 51}{space 1}   -0.40{col 60}{space 3}0.689{col 68}{space 4}-.4215488{col 81}{space 3} .2787559
{txt}{space 26} {c |}
{space 13}regtrans_2yrs {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .2056327{col 40}{space 2} .3114565{col 51}{space 1}    0.66{col 60}{space 3}0.509{col 68}{space 4}-.4048109{col 81}{space 3} .8160763
{txt}{space 26} {c |}
{space 10}polity2_newscale {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0186467{col 40}{space 2} .0459149{col 51}{space 1}   -0.41{col 60}{space 3}0.685{col 68}{space 4}-.1086382{col 81}{space 3} .0713449
{txt}{space 26} {c |}
{space 17}gdppc_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-1.674949{col 40}{space 2} 3.023277{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-7.600463{col 81}{space 3} 4.250565
{txt}{space 26} {c |}
{space 13}prev_conflict {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.4230466{col 40}{space 2} .3334876{col 51}{space 1}   -1.27{col 60}{space 3}0.205{col 68}{space 4} -1.07667{col 81}{space 3} .2305772
{txt}{space 26} {c |}
{space 18}couprisk {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-87.68089{col 40}{space 2} 46.98882{col 51}{space 1}   -1.87{col 60}{space 3}0.062{col 68}{space 4}-179.7773{col 81}{space 3}   4.4155
{txt}{space 26} {c |}
{space 17}troops_th {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .1669567{col 40}{space 2} .1151152{col 51}{space 1}    1.45{col 60}{space 3}0.147{col 68}{space 4}-.0586651{col 81}{space 3} .3925784
{txt}{space 26} {c |}
{space 16}milper_hth {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0675439{col 40}{space 2} .0575691{col 51}{space 1}    1.17{col 60}{space 3}0.241{col 68}{space 4}-.0452894{col 81}{space 3} .1803772
{txt}{space 26} {c |}
{space 10}absch_troops_max {c |}
{space 23}L1. {c |}{col 28}{res}{space 2}-.0002041{col 40}{space 2} .0001043{col 51}{space 1}   -1.96{col 60}{space 3}0.050{col 68}{space 4}-.0004086{col 81}{space 3} 3.67e-07
{txt}{space 26} {c |}
{space 14}authtroop_th {c |}{col 28}{res}{space 2} .0094025{col 40}{space 2} .0044201{col 51}{space 1}    2.13{col 60}{space 3}0.033{col 68}{space 4} .0007392{col 81}{space 3} .0180657
{txt}authtroop_change_absval_th {c |}{col 28}{res}{space 2} .0143497{col 40}{space 2} .0037756{col 51}{space 1}    3.80{col 60}{space 3}0.000{col 68}{space 4} .0069497{col 81}{space 3} .0217496
{txt}{space 26} {c |}
{space 14}troop_deaths {c |}
{space 23}L1. {c |}{col 28}{res}{space 2} .0099363{col 40}{space 2} .0308385{col 51}{space 1}    0.32{col 60}{space 3}0.747{col 68}{space 4} -.050506{col 81}{space 3} .0703786
{txt}{space 26} {c |}
{space 22}yr_n {c |}{col 28}{res}{space 2}-.2548025{col 40}{space 2} .1560462{col 51}{space 1}   -1.63{col 60}{space 3}0.102{col 68}{space 4}-.5606474{col 81}{space 3} .0510424
{txt}{space 21}yr_n2 {c |}{col 28}{res}{space 2} .0011655{col 40}{space 2} .0123914{col 51}{space 1}    0.09{col 60}{space 3}0.925{col 68}{space 4}-.0231212{col 81}{space 3} .0254522
{txt}{space 21}yr_n3 {c |}{col 28}{res}{space 2} .0001387{col 40}{space 2} .0002794{col 51}{space 1}    0.50{col 60}{space 3}0.620{col 68}{space 4} -.000409{col 81}{space 3} .0006864
{txt}{space 26} {c |}
{space 21}ccode {c |}
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{txt}{space 23}42  {c |}{col 28}{res}{space 2}-3.633794{col 40}{space 2} 1.828584{col 51}{space 1}   -1.99{col 60}{space 3}0.047{col 68}{space 4}-7.217753{col 81}{space 3}-.0498358
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-3.418706{col 40}{space 2} 1.739156{col 51}{space 1}   -1.97{col 60}{space 3}0.049{col 68}{space 4} -6.82739{col 81}{space 3}-.0100229
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-3.843082{col 40}{space 2} 1.565175{col 51}{space 1}   -2.46{col 60}{space 3}0.014{col 68}{space 4}-6.910769{col 81}{space 3}-.7753944
{txt}{space 23}70  {c |}{col 28}{res}{space 2}-2.479539{col 40}{space 2} 1.601509{col 51}{space 1}   -1.55{col 60}{space 3}0.122{col 68}{space 4}-5.618439{col 81}{space 3} .6593616
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{txt}{space 23}91  {c |}{col 28}{res}{space 2}-2.563417{col 40}{space 2} 1.934708{col 51}{space 1}   -1.32{col 60}{space 3}0.185{col 68}{space 4}-6.355374{col 81}{space 3}  1.22854
{txt}{space 23}92  {c |}{col 28}{res}{space 2} -.478915{col 40}{space 2} 2.007809{col 51}{space 1}   -0.24{col 60}{space 3}0.811{col 68}{space 4}-4.414148{col 81}{space 3} 3.456318
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{txt}{space 22}600  {c |}{col 28}{res}{space 2} .2684901{col 40}{space 2} 1.864881{col 51}{space 1}    0.14{col 60}{space 3}0.886{col 68}{space 4} -3.38661{col 81}{space 3}  3.92359
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{txt}{space 22}663  {c |}{col 28}{res}{space 2} 1.655898{col 40}{space 2} 1.846534{col 51}{space 1}    0.90{col 60}{space 3}0.370{col 68}{space 4}-1.963241{col 81}{space 3} 5.275037
{txt}{space 22}670  {c |}{col 28}{res}{space 2}-2.102298{col 40}{space 2} 1.422938{col 51}{space 1}   -1.48{col 60}{space 3}0.140{col 68}{space 4}-4.891205{col 81}{space 3} .6866085
{txt}{space 22}679  {c |}{col 28}{res}{space 2}-1.898055{col 40}{space 2}  2.09564{col 51}{space 1}   -0.91{col 60}{space 3}0.365{col 68}{space 4}-6.005434{col 81}{space 3} 2.209323
{txt}{space 22}690  {c |}{col 28}{res}{space 2}-3.119739{col 40}{space 2} 1.104581{col 51}{space 1}   -2.82{col 60}{space 3}0.005{col 68}{space 4}-5.284677{col 81}{space 3}-.9548001
{txt}{space 22}694  {c |}{col 28}{res}{space 2} 1.795718{col 40}{space 2} 2.488621{col 51}{space 1}    0.72{col 60}{space 3}0.471{col 68}{space 4} -3.08189{col 81}{space 3} 6.673325
{txt}{space 22}696  {c |}{col 28}{res}{space 2} -.743167{col 40}{space 2} 1.908122{col 51}{space 1}   -0.39{col 60}{space 3}0.697{col 68}{space 4}-4.483018{col 81}{space 3} 2.996684
{txt}{space 22}702  {c |}{col 28}{res}{space 2}-4.721592{col 40}{space 2} 2.169953{col 51}{space 1}   -2.18{col 60}{space 3}0.030{col 68}{space 4}-8.974622{col 81}{space 3}-.4685616
{txt}{space 22}703  {c |}{col 28}{res}{space 2}-4.371786{col 40}{space 2} 2.117828{col 51}{space 1}   -2.06{col 60}{space 3}0.039{col 68}{space 4}-8.522652{col 81}{space 3}-.2209193
{txt}{space 22}710  {c |}{col 28}{res}{space 2}-1.636428{col 40}{space 2} 1.622928{col 51}{space 1}   -1.01{col 60}{space 3}0.313{col 68}{space 4} -4.81731{col 81}{space 3} 1.544453
{txt}{space 22}712  {c |}{col 28}{res}{space 2}  1.33478{col 40}{space 2} 1.960956{col 51}{space 1}    0.68{col 60}{space 3}0.496{col 68}{space 4}-2.508624{col 81}{space 3} 5.178183
{txt}{space 22}732  {c |}{col 28}{res}{space 2} .2360563{col 40}{space 2} 1.011727{col 51}{space 1}    0.23{col 60}{space 3}0.816{col 68}{space 4}-1.746891{col 81}{space 3} 2.219004
{txt}{space 22}740  {c |}{col 28}{res}{space 2} 1.087149{col 40}{space 2} 1.047992{col 51}{space 1}    1.04{col 60}{space 3}0.300{col 68}{space 4}-.9668767{col 81}{space 3} 3.141175
{txt}{space 22}750  {c |}{col 28}{res}{space 2} 3.300569{col 40}{space 2} 2.375543{col 51}{space 1}    1.39{col 60}{space 3}0.165{col 68}{space 4} -1.35541{col 81}{space 3} 7.956548
{txt}{space 22}760  {c |}{col 28}{res}{space 2}-2.821938{col 40}{space 2} 2.005706{col 51}{space 1}   -1.41{col 60}{space 3}0.159{col 68}{space 4}-6.753049{col 81}{space 3} 1.109174
{txt}{space 22}770  {c |}{col 28}{res}{space 2} 2.384438{col 40}{space 2} 1.670876{col 51}{space 1}    1.43{col 60}{space 3}0.154{col 68}{space 4}-.8904198{col 81}{space 3} 5.659296
{txt}{space 22}771  {c |}{col 28}{res}{space 2}  2.01942{col 40}{space 2} 1.865277{col 51}{space 1}    1.08{col 60}{space 3}0.279{col 68}{space 4}-1.636456{col 81}{space 3} 5.675297
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{txt}{space 22}950  {c |}{col 28}{res}{space 2} .3080298{col 40}{space 2} 1.889728{col 51}{space 1}    0.16{col 60}{space 3}0.871{col 68}{space 4}-3.395768{col 81}{space 3} 4.011828
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  6.68182{col 40}{space 2} 1.998426{col 51}{space 1}    3.34{col 60}{space 3}0.001{col 68}{space 4} 2.764976{col 81}{space 3} 10.59866
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.380531{col 40}{space 2} .0632235{col 68}{space 4} 1.256615{col 81}{space 3} 1.504447
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 3.977012{col 40}{space 2} .2514408{col 68}{space 4} 3.513508{col 81}{space 3} 4.501662
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Model 25
. nbreg absch_troops_max L.i.solsch_2yrs##L.c.polity2_newscale L.otherldrtrns_2yrs##L.c.polity2_newscale L.regtrans_2yrs L.gdppc_hth L.prev_conflict L.couprisk L.troops_th  L.milper_hth L.absch_troops_max authtroop_th authtroop_change_absval_th L.troop_deaths yr_n yr_n2 yr_n3  yr_n yr_n2 yr_n3 i.ccode if samp==1, cluster(ccode)
{txt}note: {bf:L.polity2_newscale} omitted because of collinearity.
note: {bf:yr_n} omitted because of collinearity.
note: {bf:yr_n2} omitted because of collinearity.
note: {bf:yr_n3} omitted because of collinearity.

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3803903.8}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2390669.1}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-1465630.5}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-1216167.8}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-460051.99}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-373025.42}  
Iteration 6:{space 2}Log pseudolikelihood = {res: -368323.5}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-368246.65}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-368246.64}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-15550.288}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11675.852}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11675.637}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11675.637}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-11409.452}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-11126.867}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-11096.216}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-11094.451}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-11094.442}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11094.442}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,498}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}}{col 70} = {res}{ralign 6:.}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-11094.442}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0498}

{txt}{ralign 105:(Std. err. adjusted for {res:126} clusters in {res:ccode})}
{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                       absch_troops_max{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      z{col 73}   P>|z|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}L.solsch_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2} 2.168178{col 53}{space 2} .6976803{col 64}{space 1}    3.11{col 73}{space 3}0.002{col 81}{space 4} .8007501{col 94}{space 3} 3.535607
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0125161{col 53}{space 2} .0460346{col 64}{space 1}    0.27{col 73}{space 3}0.786{col 81}{space 4}-.0777101{col 94}{space 3} .1027423
{txt}{space 39} {c |}
{space 6}L.solsch_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1170263{col 53}{space 2}    .0403{col 64}{space 1}   -2.90{col 73}{space 3}0.004{col 81}{space 4}-.1960128{col 94}{space 3}-.0380397
{txt}{space 39} {c |}
{space 20}L.otherldrtrns_2yrs {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1471508{col 53}{space 2} .5573575{col 64}{space 1}   -0.26{col 73}{space 3}0.792{col 81}{space 4}-1.239551{col 94}{space 3} .9452498
{txt}{space 39} {c |}
{space 23}polity2_newscale {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 39} {c |}
L.otherldrtrns_2yrs#cL.polity2_newscale {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0056952{col 53}{space 2} .0319235{col 64}{space 1}    0.18{col 73}{space 3}0.858{col 81}{space 4}-.0568736{col 94}{space 3} .0682641
{txt}{space 39} {c |}
{space 26}regtrans_2yrs {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0008745{col 53}{space 2} .2944693{col 64}{space 1}   -0.00{col 73}{space 3}0.998{col 81}{space 4}-.5780238{col 94}{space 3} .5762748
{txt}{space 39} {c |}
{space 30}gdppc_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-1.489268{col 53}{space 2} 2.978486{col 64}{space 1}   -0.50{col 73}{space 3}0.617{col 81}{space 4}-7.326993{col 94}{space 3} 4.348457
{txt}{space 39} {c |}
{space 26}prev_conflict {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.4178731{col 53}{space 2} .3153563{col 64}{space 1}   -1.33{col 73}{space 3}0.185{col 81}{space 4} -1.03596{col 94}{space 3}  .200214
{txt}{space 39} {c |}
{space 31}couprisk {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-116.8735{col 53}{space 2} 39.66305{col 64}{space 1}   -2.95{col 73}{space 3}0.003{col 81}{space 4}-194.6117{col 94}{space 3}-39.13537
{txt}{space 39} {c |}
{space 30}troops_th {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .1821176{col 53}{space 2} .1046359{col 64}{space 1}    1.74{col 73}{space 3}0.082{col 81}{space 4}-.0229649{col 94}{space 3} .3872001
{txt}{space 39} {c |}
{space 29}milper_hth {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0560776{col 53}{space 2} .0543173{col 64}{space 1}    1.03{col 73}{space 3}0.302{col 81}{space 4}-.0503824{col 94}{space 3} .1625376
{txt}{space 39} {c |}
{space 23}absch_troops_max {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0002105{col 53}{space 2} .0000946{col 64}{space 1}   -2.22{col 73}{space 3}0.026{col 81}{space 4}-.0003959{col 94}{space 3} -.000025
{txt}{space 39} {c |}
{space 27}authtroop_th {c |}{col 41}{res}{space 2} .0091333{col 53}{space 2} .0043419{col 64}{space 1}    2.10{col 73}{space 3}0.035{col 81}{space 4} .0006234{col 94}{space 3} .0176432
{txt}{space 13}authtroop_change_absval_th {c |}{col 41}{res}{space 2}  .014002{col 53}{space 2} .0037187{col 64}{space 1}    3.77{col 73}{space 3}0.000{col 81}{space 4} .0067134{col 94}{space 3} .0212906
{txt}{space 39} {c |}
{space 27}troop_deaths {c |}
{space 36}L1. {c |}{col 41}{res}{space 2} .0075845{col 53}{space 2} .0283895{col 64}{space 1}    0.27{col 73}{space 3}0.789{col 81}{space 4}-.0480578{col 94}{space 3} .0632268
{txt}{space 39} {c |}
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{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 6.304404{col 53}{space 2} 1.985608{col 64}{space 1}    3.18{col 73}{space 3}0.001{col 81}{space 4} 2.412684{col 94}{space 3} 10.19612
{txt}{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 31}/lnalpha {c |}{col 41}{res}{space 2} 1.376763{col 53}{space 2} .0635095{col 81}{space 4} 1.252287{col 94}{space 3} 1.501239
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                                  alpha {c |}{col 41}{res}{space 2} 3.962055{col 53}{space 2} .2516282{col 81}{space 4} 3.498333{col 94}{space 3} 4.487247
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Joint test of interaction
. testparm L.i.solsch_2yrs##L.c.polity2_newscale

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[absch_troops_max]1L.solsch_2yrs = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [absch_troops_max]L.polity2_newscale = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [absch_troops_max]1L.solsch_2yrs#cL.polity2_newscale = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   12.99
{txt}{col 10}Prob > chi2 =  {res}  0.0047
{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\oestman\Dropbox\UNLV\Research\Oestman & Passmore\Journal submissions\FPA submission (2023)\Resubmission\reliablecontributors_replication_FPA\reliablecontributors_FPA_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}22 Sep 2023, 09:23:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}